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The 10 research topics in the Internet of Things

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Since the term first coined in 1999 by Kevin Ashton, the Internet of Things (IoT) has gained significant momentum as a technology to connect physical objects to the Internet and to facilitate machine-to-human and machine-to-machine communications. Over the past two decades, IoT has been an active area of research and development endeavors by many technical and commercial communities. Yet, IoT technology is still not mature and many issues need to be addressed. In this paper, we identify 10 key research topics and discuss the research problems and opportunities within these topics.

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• Internet of Things
• Energy Harvesting
• Recommendation
• Summarization
• Conversational IoT
• IoT Service Discovery

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T1 - The 10 research topics in the Internet of Things

AU - Zhang, Wei Emma

AU - Sheng, Quan Z.

AU - Mahmood, Adnan

AU - Tran, Dai Hoang

AU - Zaib, Munazza

AU - Hamad, Salma Abdalla

AU - Aljubairy, Abdulwahab

AU - Alhazmi, Ahoud Abdulrahmn F.

AU - Sagar, Subhash

AU - Ma, Congbo

N2 - Since the term first coined in 1999 by Kevin Ashton, the Internet of Things (IoT) has gained significant momentum as a technology to connect physical objects to the Internet and to facilitate machine-to-human and machine-to-machine communications. Over the past two decades, IoT has been an active area of research and development endeavors by many technical and commercial communities. Yet, IoT technology is still not mature and many issues need to be addressed. In this paper, we identify 10 key research topics and discuss the research problems and opportunities within these topics.

AB - Since the term first coined in 1999 by Kevin Ashton, the Internet of Things (IoT) has gained significant momentum as a technology to connect physical objects to the Internet and to facilitate machine-to-human and machine-to-machine communications. Over the past two decades, IoT has been an active area of research and development endeavors by many technical and commercial communities. Yet, IoT technology is still not mature and many issues need to be addressed. In this paper, we identify 10 key research topics and discuss the research problems and opportunities within these topics.

KW - Internet of Things

KW - Energy Harvesting

KW - Recommendation

KW - Search

KW - Summarization

KW - Conversational IoT

KW - IoT Service Discovery

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UR - http://purl.org/au-research/grants/arc/DP200102298

UR - http://purl.org/au-research/grants/arc/LE180100158

UR - http://purl.org/au-research/grants/arc/FT140101247

U2 - 10.1109/CIC50333.2020.00015

DO - 10.1109/CIC50333.2020.00015

M3 - Conference proceeding contribution

AN - SCOPUS:85100752198

T3 - Proceedings - 2020 IEEE 6th International Conference on Collaboration and Internet Computing, CIC 2020

BT - Proceedings - 2020 IEEE 6th International Conference on Collaboration and Internet Computing, CIC 2020

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T2 - 6th IEEE International Conference on Collaboration and Internet Computing, CIC 2020

Y2 - 1 December 2020 through 3 December 2020

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Title: the 10 research topics in the internet of things.

Abstract: Since the term first coined in 1999 by Kevin Ashton, the Internet of Things (IoT) has gained significant momentum as a technology to connect physical objects to the Internet and to facilitate machine-to-human and machine-to-machine communications. Over the past two decades, IoT has been an active area of research and development endeavours by many technical and commercial communities. Yet, IoT technology is still not mature and many issues need to be addressed. In this paper, we identify 10 key research topics and discuss the research problems and opportunities within these topics.

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• DOI: 10.1109/CIC50333.2020.00015
• Corpus ID: 227253677

The 10 Research Topics in the Internet of Things

• W. Zhang , Quan Z. Sheng , +7 authors Congbo Ma
• Published in International Conference on… 1 December 2020
• Computer Science, Engineering, Environmental Science

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24 Citations

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The 10 Research Topics in the Internet of Things

Since the term first coined in 1999 by Kevin Ashton, the Internet of Things (IoT) has gained significant momentum as a technology to connect physical objects to the Internet and to facilitate machine-to-human and machine-to-machine communications. Over the past two decades, IoT has been an active area of research and development endeavours by many technical and commercial communities. Yet, IoT technology is still not mature and many issues need to be addressed. In this paper, we identify 10 key research topics and discuss the research problems and opportunities within these topics.

Wei Emma Zhang

Quan Z. Sheng

Adnan Mahmood

Dai Hoang Tran

Munazza Zaib

Salma Abdalla Hamad

Abdulwahab Aljubairy

Ahoud Abdulrahmn F Alhazmi

Subhash Sagar

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Top 40 IoT Research Topics for 2024 [With Source Code]

Home Blog others Top 40 IoT Research Topics for 2024 [With Source Code]

With new applications being created every day, the Internet of Things (IoT) is one of the technologies that is expanding the fastest in the world right now. The Internet of Things (IoT) is a network of physical objects like cars, appliances, and other household things that are equipped with connectivity, software, and sensors to collect and share data. IoT is revolutionizing the way we live and work, creating new opportunities for businesses, governments, and individuals alike.

In this blog, we will discuss the top 40 Internet of Things research topics and ideas for 2024. We will also provide a comprehensive guide on how to choose the best IoT research topic and discuss some of the challenges and ethical considerations in IoT research papers.

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What is IoT?

IoT has numerous applications in various sectors such as healthcare, agriculture, transportation, manufacturing, and smart cities. The data collected from IoT devices can be used to improve decision-making, optimize processes, and enhance customer experiences. If you want to know more about IoT, check out online IoT training .

List of IoT Research Topics in 2024

Here's a updated list of internet of things research topic ideas of 2024:

1. Smart Homes

2. wearable devices, 3. smart agriculture, 4. smart cities, 5. industrial iot, 6. smart health, 7. smart retail, 8. energy iot, 9. transportation iot.

• Hospitality IoT
• Aerospace IoT

Top IoT Research Projects

Come let’s discuss the top 10 IoT-based research topics and ideas in detail for 2024.

The idea of a smart home is gaining popularity, and with IoT technology, it has become possible to control and automate various devices in a house. Some of the popular smart home projects include smart lighting, smart security, smart thermostat, and smart appliances.

• Smart Lighting: Smart lighting refers to the use of IoT technology to control the lighting of a house. This can be done by using sensors that detect the presence of people in a room and adjust the lighting accordingly. For example, when someone enters a room, the lights automatically turn on, and when the person leaves, the lights turn off. This can aid in energy conservation and lower electricity costs.
• Smart Security: Smart security refers to the use of IoT technology to enhance the security of a house. This can be done by using sensors and cameras that detect any suspicious activity and alert the homeowners. Smart security can also include features such as remote access control, automatic locking, and real-time monitoring.
• Smart Thermostat: Smart thermostat refers to the use of IoT technology to control the temperature of a house. This can be done by using sensors that detect the temperature of each room and adjust the thermostat accordingly. The ability to remotely operate a smart thermostat can aid in energy conservation and lower electricity costs.

Wearable devices such as smartwatches, fitness trackers, and medical devices are becoming increasingly popular. IoT technology can be used to develop wearable devices that can collect and analyze data, monitor health parameters, and provide real-time feedback to the user.

• Smartwatches: Smartwatches refer to the use of IoT technology to develop watches that can perform various functions such as making phone calls, sending messages, and tracking fitness. Smartwatches can also be integrated with other devices such as smartphones and laptops.
• Fitness Trackers: Fitness trackers refer to the use of IoT technology to develop devices that can track physical activity, monitor heart rate, and measure calories burned. Fitness trackers can be used to improve health and fitness and can also be integrated with other devices such as smartphones and laptops.
• Medical Devices: Medical devices refer to the use of IoT technology to develop devices that can monitor and track various health parameters such as blood pressure, glucose levels, and oxygen saturation. Medical devices can be used to improve patient care and can also be integrated with other devices such as smartphones and laptops.

IoT technology can be used to develop smart agriculture solutions that can improve crop yields, reduce water consumption, and increase efficiency. Some of the popular smart agriculture projects include precision farming, soil monitoring, and crop monitoring.

• Precision Farming: Precision farming refers to the use of IoT technology to develop farming techniques that can help farmers optimize their crop yields. This can be done by using sensors that detect soil moisture, temperature, and nutrient levels, and adjusting the amount of water and fertilizer used accordingly.
• Soil Monitoring:  Soil monitoring refers to the use of IoT technology to develop devices that can monitor soil conditions such as pH levels, temperature, and moisture content. Soil monitoring can help farmers make informed decisions about crop management and reduce the amount of water and fertilizer used.
• Crop Monitoring: Crop monitoring refers to the use of IoT technology to develop devices that can monitor crop growth and health. This can be done by using sensors that detect the amount of sunlight, temperature, and humidity, and provide real-time feedback to farmers. Crop monitoring can help farmers identify and address any issues that may affect crop growth and yield.

Smart cities refer to the use of IoT technology to develop cities that are more efficient, sustainable, and livable. Some of the popular smart city projects include smart transportation, smart energy, and smart waste management.

• Smart Transportation: Smart transportation refers to the use of IoT technology to develop transportation solutions that are more efficient and sustainable. This can include features such as real-time traffic monitoring, intelligent traffic routing, and smart parking.
• Smart Energy:  Smart energy refers to the use of IoT technology to develop energy solutions that are more efficient and sustainable. This can include features such as smart grids, renewable energy sources, and energy-efficient buildings.
• Smart Waste Management:  Smart waste management refers to the use of IoT technology to develop waste management solutions that are more efficient and sustainable. This can include features such as smart bins that detect when they are full and automatically alert waste collection services.

Industrial IoT refers to the use of IoT technology to develop solutions that can improve efficiency and productivity in industries such as manufacturing, transportation, and logistics. Some of the popular industrial IoT projects include predictive maintenance, asset tracking, and supply chain optimization.

• Predictive Maintenance: Predictive maintenance refers to the use of IoT technology to develop maintenance solutions that can detect and address issues before they become major problems. This can include features such as real-time monitoring of machinery and equipment, and predictive analytics that can identify potential issues.
• Asset Tracking: Asset tracking refers to the use of IoT technology to develop solutions that can track the location and status of assets such as machinery and vehicles. This can include features such as real-time tracking, geofencing, and alert notifications.
• Supply Chain Optimization: Supply chain optimization refers to the use of IoT technology to develop solutions that can optimize supply chain operations such as inventory management, logistics, and shipping. This can include features such as real-time tracking of shipments, predictive analytics, and automated inventory management.

Smart health refers to the use of IoT technology to develop solutions that can improve patient care, reduce costs, and enhance overall health outcomes. Some of the popular smart health projects include remote patient monitoring, medication management, and personalized health tracking.

• Remote Patient Monitoring: Remote patient monitoring refers to the use of IoT technology to monitor patients remotely and provide real-time feedback to healthcare providers. This can include features such as wearable devices that monitor vital signs and alert healthcare providers if any issues arise.
• Medication Management: Medication management refers to the use of IoT technology to develop solutions that can help patients manage their medications more effectively. This can include features such as smart pillboxes that remind patients to take their medications and alert healthcare providers if medications are missed.
• Personalized Health Tracking: Personalized health tracking refers to the use of IoT technology to develop solutions that can track and analyze individual health data such as activity levels, sleep patterns, and dietary habits. This can help individuals make informed decisions about their health and well-being.

Smart retail is an emerging application of IoT technology that is changing the way we shop. The goal of smart retail is to provide customers with a more personalized and efficient shopping experience while also improving the efficiency and profitability of retailers. Here are some more details on some popular smart retail applications:

• Smart Shelves:  Smart shelves are shelves equipped with IoT sensors that detect when products are running low or out of stock. This data is sent to the retailer's inventory management system, which can then automatically order more inventory. Smart shelves can also be used to display product information, promotions, and customer recommendations.
• Smart Inventory Management:  Smart inventory management refers to the use of IoT technology to track inventory levels in real time. This can help retailers to optimise their inventory levels, reduce waste, and avoid stockouts. Smart inventory management can also help retailers to automate their ordering and fulfilment processes.
• Personalized Shopping Experiences: Personalized shopping experiences refer to the use of IoT technology to provide customers with tailored product recommendations and promotions. This can be done by analyzing customer data, such as purchase history and browsing behavior, and using machine learning algorithms to generate personalized recommendations.

The energy industry is also poised for transformation through the use of IoT technology. Energy IoT solutions can help companies optimize energy usage, reduce waste, and improve sustainability. Some project ideas for energy IoT include:

• Smart Grids: A system that uses sensors and data analytics to optimize the distribution of energy, reducing waste and improving efficiency.
• Energy Management: A system that uses sensors to monitor energy usage in buildings, identifying areas where energy usage can be reduced and optimizing the energy usage of appliances and lighting.
• Renewable Energy Monitoring: A system that uses sensors to monitor the performance of renewable energy systems, optimizing energy production and reducing downtime.

IoT technology is also transforming the way we move people and goods. Transportation IoT solutions can help optimize transportation networks, reduce traffic congestion, and improve safety. Some project ideas for transportation IoT include:

• Connected Vehicles: Vehicles that are equipped with sensors and connectivity, allowing them to communicate with each other and with infrastructure to optimize traffic flow and improve safety.
• Intelligent Transportation Systems: A system that uses sensors and data analytics to optimize traffic flow, reducing congestion and improving safety.
• Smart Parking:  A system that uses sensors and data analytics to optimize parking availability, reducing search times and improving the parking experience for drivers.

10. Hospitality IoT

IoT technology can help hotels and other hospitality businesses improve the guest experience, increase efficiency, and reduce costs. Some project ideas for hospitality IoT include:

• Smart Room Controls: A system that uses sensors and connectivity to allow guests to control lighting, temperature, and other room features from their smartphones or other devices.
• Asset Tracking: A system that uses sensors to track the location and condition of hotel assets, improving supply chain visibility and reducing the risk of theft or loss.
• Guest Analytics: A system that uses sensors to track guest behavior and preferences, allowing hotels to offer personalized recommendations and improve the guest experience.

11. Aerospace IoT

IoT technology can help aerospace companies improve safety, increase efficiency, and reduce costs. Some project ideas for aerospace IoT include:

• Predictive Maintenance: A system that uses sensors and data analytics to predict when aircraft equipment is likely to fail, allowing for maintenance to be performed before a breakdown occurs.
• Fuel Optimization:  A system that uses sensors and data analytics to optimize fuel usage, reducing waste and increasing efficiency.
• Air Traffic Management:  A system that uses sensors and data analytics to optimize air traffic flow, reducing congestion and improving safety.

Top Futuristic IoT Research Ideas

• Human-Computer Interaction:  Develop interfaces that can interpret human behavior and emotions to enhance IoT systems' responsiveness and personalization.
• Augmented Reality and IoT:  Combine IoT with augmented reality to create immersive experiences in areas such as education, entertainment, and marketing.
• Quantum Computing and IoT:  Investigate how quantum computing can enhance IoT systems' performance, security, and scalability.
• Swarm Intelligence and IoT:  Explore how swarm intelligence can be applied to IoT systems to enable self-organizing and self-healing networks.
• IoT and 5G:  Investigate how 5G networks can enhance IoT systems' performance, reliability, and scalability.
• Smart Cities and IoT:  Develop smart city solutions that can improve urban planning, transportation, energy efficiency, and citizen engagement.

Generalized Open IoT Research Topics

Here is a generalized open internet of things research paper topics listed based on different categories:

A. IoT Enabling Technologies

• IoT Large-Scale Pilots and Portability
• Sensor and Actuator Networks
• Artificial Intelligence and IoT
• IoT and Personal Data Protection
• IoT Protocols and Standards (IPv6, 6LoWPAN, RPL, 6TiSCH, WoT, oneM2M, etc.)
• Named Data Networking for IoT

B. IoT Applications, Services, and Real Implementations

• e-Health, Assisted Living and e-Wellness
• Smart Grid, Energy Management
• Cyber-physical systems, Context Awareness, Situation Awareness, Ambient Intelligence
• Industrial IoT Service Creation and Management Aspects

C. IoT Security, Privacy, and Data Protection

• Artificial Intelligence-based security and data protection
• Wireless Sensor Network for IoT Security
• IoT Privacy, data protection, and Security Concerns
• Security with QoS Optimization in IoT
• Security Standards in IoT
• Identification and Authentication Issues

D. IoT Pilots, Testbeds, and Experimentation Results

• Large-scale pilots on IoT
• Multi-Objective IoT System Modeling and Analysis—Performance, Energy, Reliability, Robustness
• IoT Interconnections Analysis—QoS, Scalability, Performance, Interference
• IoT Deployment at Government and ISPs
• IoT Interconnections among ISPs Analysis—QoS, Scalability, Performance, Interference
• Gaps Analysis for Real Deployment
• IoT and Future Internet Architectures

How to Choose the Best IoT Research Topic?

Choosing the best IoT research topic can be a challenging task. Here are some tips to help you choose the best IoT research topic:

• Think on how feasible and useful the research is:  Choose a topic that aligns with your interests and passions to stay motivated and engaged throughout the research process.
• Identify emerging trends and challenges:  Choose a topic that addresses emerging trends and challenges in the IoT industry to make a significant contribution to the field.
• Consider the feasibility and practicality of the research:  Choose a topic that is feasible and practical to research given the available resources, expertise, and time constraints.
• Seek input from experts and mentors:  Consult with experts and mentors in the field to get feedback and guidance on potential research topics.
• Evaluate the potential impact of the research:  Choose a topic that has the potential to make a significant impact on the IoT industry or society as a whole.

Things to Consider While Choosing IoT Research Topics

Here are some additional things to consider while choosing IoT topics for research:

•  Ethical considerations:  Consider the ethical implications of the research, such as data privacy, security, and transparency.
• Interdisciplinary nature:  Consider the interdisciplinary nature of IoT research and seek to collaborate with experts from different fields to broaden the scope of the research.
• Data management:  Consider how to manage the massive amount of data generated by IoT devices and ensure the accuracy, reliability, and integrity of the data.
• Scalability:  Consider how to design IoT systems that can scale up to accommodate the increasing number of devices and data.

IoT is a rapidly growing field that offers numerous opportunities for research and innovation. In this blog, we discussed the top 40 research topics on IoT for 2024, as well as some futuristic IoT research ideas. We also provided a comprehensive guide on how to choose the best IoT research topic and discussed some of the challenges and ethical considerations in IoT research. By choosing the right research topic and addressing emerging trends and challenges, you can make a significant contribution to the IoT industry and society as a whole. In addition to the project, you can also take advantage of KnowledgeHut Software Development Certification training to learn multiple programming languages and enhance your value in the job market.

Frequently Asked Questions (FAQs)

IoT research involves studying the technologies, applications, and challenges related to the Internet of Things (IoT) to develop new solutions and improve existing ones. 

Some current trends in IoT research include edge computing, machine learning and artificial intelligence (AI), security and privacy, and smart cities. 

IoT research can be used in industry to develop and improve products and services, optimize processes, and enhance customer experiences. It can also help companies to reduce costs, increase efficiency, and improve safety. 

Some ethical considerations in IoT research include privacy, data security, transparency, consent, and the potential for bias or discrimination. 

Some challenges in IoT research include interoperability, scalability, data management and analysis, energy efficiency, and the need for standardization and regulation. 

Geetika Mathur

Geetika Mathur is a recent Graduate with specialization in Computer Science Engineering having a keen interest in exploring entirety around. She have a strong passion for reading novels, writing and building web apps. She has published one review and one research paper in International Journal. She has also been declared as a topper in NPTEL examination by IIT – Kharagpur.

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Internet of Things: Latest Advances

Dear Colleagues,

The Internet of Things (IoT) is one of the most prominent tech trends to have emerged in recent years. It refers to the fact that while the word “internet” initially referred to the wide-scale networking of computers, today, devices of every size and shape – from cars to kitchen appliances to industrial machinery - are connected and sharing information digitally, on a global scale.

The purpose of this Topic is to bring together state-of-the-art achievements on IoT and its applications. It discusses all aspects of emerging IoT sciences and technologies and serves as a platform for colleagues to exchange novel ideas in this area.

Especially, IoT devices are used in many applications in non-harsh environments. Initially, there were no IoT devices for harsh environments or highly protected expensive IoT devices. However, with the advancement of AI, AI is now able to predict target parameters even without IoT devices in harsh environments. In addition to critical boundaries with IoT devices in non-harsh and harsh environments, this Topic is also interested in how engineers and scientists can cope with and overcome harsh situations by protecting fragile IoT devices, and other technologies including AI technologies that can predict without IoT devices.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). We encourage authors to submit original research articles, case studies, reviews, theoretical and critical perspectives, and viewpoint articles on (but not limited to) the following topics:

• Artificial Intelligence;
• Internet of Things;
• vulnerable sensors;
• AI prediction;
• harsh environments;
• non-harsh environments…
• artificial intelligence
• internet of things
• vulnerable sensors
• AI prediction
• harsh environments
• non-harsh environment
• smart sensing
• smart sensors
• industrial internet of things
• artificial intelligence of things
• internet of medical things

• Immediately share your ideas ahead of publication and establish your research priority;
• Protect your idea from being stolen with this time-stamped preprint article;
• Enhance the exposure and impact of your research;
• Receive feedback from your peers in advance;
• Have it indexed in Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

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Top Internet of Things Research Frontiers of the Leaders

Over the past years, the Internet has redefined Business to Business (B2B) industries. The evolution of technology will dramatically alter manufacturing, energy, agriculture, transportation and other industrial sectors of the economy. It is already transforming how people work through new interactions between humans and machines. Dubbed the Industrial Internet of Things (IIoT), this latest wave of technological change will bring opportunities, along with many risks, to business and society. Universities are already challenged to adopt a new way of penetrating the market and researching the latest trends, that is why I think is important to know what are the top Internet of Things research frontiers topics at this moment and how companies can leverage them.

IoT Research Topics Overview

In March 2014, five big companies cofounded the Industrial Internet Consortium . As it is specified on IIConsortium website, the main objective of this entity is to bring together the organizations and technologies necessary to accelerate the growth of the Industrial Internet by identifying, assembling and promoting best practices. Membership includes small and large technology innovators, vertical market leaders, IoT researchers and top AI leaders , universities and government organizations.

From my perspective, it is imperative that in this relatively young research field there are involved not only companies but IoT researchers, leaders and universities too because, all these entities, working together, are the primary drivers of innovation and evolution.

As businesses are trying to leverage every opportunity regarding IoT by trying to find ways to partner with top universities and research centers, here is a list of the Top 20 co-occurring topics of the Top 500 Internet of Things Authors in the academic field. This gives an idea of the IoT research frontiers of the leaders.

Almost one in three IoT researchers are interested in cloud computing and wireless sensor networks. O nly one in 13 are interested in mobile computing, Artificial Intelligence, and Machine Learning; one in 14 – in Cybersecurity and even less, one in 20 are interested in smart cities (this data represents explicit interests expressed via keywords used within the published research to date of the top500 researchers & leaders in IOT). 

Top Internet of Things Research Frontiers Topics

Research interests of World’s Top 500 IoT Scholars.

• wireless sensor networks 30%
• cloud computing 27%
• big data 12%
• ubiquitous computing 12%
• distributed systems 10%
• cyber physical systems 9%
• pervasive computing 8%
• embedded systems 8%
• mobile computing 8%
• artificial intelligence 8%
• machine learning 8%
• security 7%
• semantic web 7%
• network security 6%
• sensor networks 6%
• wireless networks 6%
• smart cities 5%

The statistics and the image were provided by Paul X McCarthy, Co-founder and CEO of League of Scholars . The tool ranks scholars around the world not simply on their citations or H-Index but also by a new proprietary ranking that takes into account a range of quality and relevance factors such as the impact factor and influence of the venue, industry collaboration and public engagement via high profile media.

Using the Leagues of Scholars’ algorithm, we are planning to publish in the next weeks Top Cybersecurity and Top Industrial Automation Research Institutions and also Top Researchers in the same fields.

Check out the lists of industrial IoT companies and startups present at Web Summit 2021 and the startups we spotted at Web Summit this year, focused on clean energy and renewable energy .

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Internet of Things (IoT), Applications and Challenges: A Comprehensive Review

• Published: 28 May 2020
• Volume 114 , pages 1687–1762, ( 2020 )

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• Abhishek Khanna   ORCID: orcid.org/0000-0001-8114-4214 1 &
• Sanmeet Kaur 1  

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During recent years, one of the most familiar names scaling new heights and creating a benchmark in the world is the Internet of Things (IoT). It is indeed the future of communication that has transformed things (objects) of the real-world into smart objects. The functional aspect of IoT is to unite every object of the world under one common infrastructure; in such a manner that humans not only have the ability to control those objects; but to provide regular and timely updates on the current status. IoT concepts were proposed a couple of years ago and it may not be incorrect to quote that this term has become a benchmark for establishing communication among objects. In context to the present standings of IoT, a comprehensive review of literature has been undertaken on various aspects of IoT, i.e., technologies, applications, challenges, etc. This paper evaluates various contributions of researchers in different areas of applications. These papers were investigated on various parameters identified in each application domain. Furthermore, existing challenges in these areas are highlighted. Future research directions in the field of IoT have also been highlighted in the study to equip novel researchers in this area to assess the current standings of IoT and to improve upon them with innovative ideas.

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Acknowledgements

The authors would like to acknowledge Council of Scientific and Industrial Research (CSIR) for funding grants vide No. 38(1464)/18/EMIR-II for carrying out research work.

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Khanna, A., Kaur, S. Internet of Things (IoT), Applications and Challenges: A Comprehensive Review. Wireless Pers Commun 114 , 1687–1762 (2020). https://doi.org/10.1007/s11277-020-07446-4

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• Internet of Things (IoT)
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The Internet of Things (IoT) refers to a network of physical devices, vehicles, appliances, and other physical objects that are embedded with sensors, software, and network connectivity, allowing them to collect and share data.

IoT devices—also known as “smart objects”—can range from simple “smart home” devices like smart thermostats, to wearables like smartwatches and RFID-enabled clothing, to complex industrial machinery and transportation systems. Technologists are even envisioning entire “smart cities” predicated on IoT technologies.

IoT enables these smart devices to communicate with each other and with other internet-enabled devices. Like smartphones and gateways, creating a vast network of interconnected devices that can exchange data and perform various tasks autonomously. This can include:

• monitoring environmental conditions in farms
• managing traffic patterns with smart cars and other smart automotive devices
• controlling machines and processes in factories 
• tracking inventory and shipments in warehouses

The potential applications of IoT are vast and varied, and its impact is already being felt across a wide range of industries, including manufacturing, transportation, healthcare, and agriculture. As the number of internet-connected devices continues to grow, IoT is likely to play an increasingly important role in shaping our world. Transforming the way that we live, work, and interact with each other.

In an enterprise context, IoT devices are used to monitor a wide range of parameters such as temperature, humidity, air quality, energy consumption, and machine performance. This data can be analyzed in real time to identify patterns, trends, and anomalies that can help businesses optimize their operations and improve their bottom line.

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IoT is important for business for several reasons. Here are the core benefits of IoT:

By using IoT devices to automate and optimize processes, businesses can improve efficiency and productivity. For example, IoT sensors can be used to monitor equipment performance and detect or even resolve potential issues before they cause downtime, reducing maintenance costs and improving uptime.

IoT devices generate vast amounts of data that can be used to make better-informed business decisions and new business models. By analyzing this data, businesses can gain insights into customer behavior, market trends, and operational performance, allowing them to make more informed decisions about strategy, product development, and resource allocation.

By reducing manual processes and automating repetitive tasks, IoT can help businesses reduce costs and improve profitability. For example, IoT devices can be used to monitor energy usage and optimize consumption, reducing energy costs and improving sustainability.

By using IoT technology to gather data about customer behavior, businesses can create more personalized and engaging experiences for their customers. For example, retailers can use IoT sensors to track customer movements in stores and deliver personalized offers based on their behavior.

Several technologies come together to make IoT possible.

• Sensors and actuators: Sensors are devices that can detect changes in the environment, such as temperature, humidity, light, motion, or pressure. Actuators are devices that can cause physical changes in the environment, such as opening or closing a valve or turning on a motor. These devices are at the heart of IoT, as they allow machines and devices to interact with the physical world. Automation is possible when sensors and actuators work to resolve issues without human intervention.
• Connectivity technologies: To transmit IoT data from sensors and actuators to the cloud, IoT devices need to be connected to the internet. There are several connectivity technologies that are used in IoT, including wifi, Bluetooth, cellular, Zigbee, and LoRaWAN.
• Cloud computing: The cloud is where the vast amounts of data that is generated by IoT devices are stored, processed, and analyzed. Cloud computing platforms provide the infrastructure and tools that are needed to store and analyze this data, as well as to build and deploy IoT applications.
• Big data analytics: To make sense of the vast amounts of data generated by IoT devices, businesses need to use advanced analytics tools to extract insights and identify patterns. These tools can include machine learning algorithms, data visualization tools and predictive analytics models.
• Security and privacy technologies: As IoT deployments become more widespread, IoT security and privacy become increasingly important. Technologies such as encryption , access controls and intrusion detection systems are used to protect IoT devices and the data they generate from cyberthreats.

In the healthcare industry, IoT devices can be used to monitor patients remotely and collect real-time data on their vital signs, such as heart rate, blood pressure and oxygen saturation. This sensor data can be analyzed to detect patterns and identify potential health issues before they become more serious. IoT devices can also be used to track medical equipment, manage inventory and monitor medication compliance.

Industrial IoT devices can be used in manufacturing to monitor machine performance, detect equipment failures and optimize production processes. For example, sensors can be used to monitor the temperature and humidity in a manufacturing facility, ensuring that conditions are optimal for the production of sensitive products. IoT devices can also be used to track inventory, manage supply chains and monitor the quality of finished products. Industrial IoT is such an expansive new technology space, that it is sometimes referred to by its own abbreviation: IIoT (Industrial IoT).

In the retail industry, IoT devices can be used to track customer behavior, monitor inventory levels and optimize store layouts. For example, sensors can be used to track foot traffic in a store and analyze customer behavior, allowing retailers to optimize product placement and improve the customer experience. IoT devices can also be used to monitor supply chains, track shipments and manage inventory levels.

IoT devices can be used in agriculture to monitor soil conditions, weather patterns and crop growth. For example, sensors can be used to measure the moisture content of soil, ensuring that crops are irrigated at the optimal time. IoT devices can also be used to monitor livestock health, track equipment and manage supply chains. Low-power or solar-powered devices can often be used with minimal oversight in remote locations.

In the transportation industry, IoT devices can be used to monitor vehicle performance, optimize routes, and track shipments. For example, sensors can be used to monitor the fuel efficiency of connected cars, reducing fuel costs and improving sustainability. IoT devices can also be used to monitor the condition of cargo, ensuring that it arrives at its destination in optimal condition.

IoT offers many benefits, but it also poses several risks and challenges. Here are some of the most significant ones:

Security and privacy risks: As IoT devices become more widespread, security and privacy become increasingly important. Many IoT devices are vulnerable to hackers and other cyberthreats, which can compromise the security and privacy of sensitive data. IoT devices can also collect vast amounts of personal data, raising concerns about privacy and data protection.

Interoperability issues: IoT devices from different manufacturers often use different standards and protocols, making it difficult for them to perform what’s called “machine to machine” communication. This can lead to interoperability issues and create silos of data that are difficult to integrate and analyze.

Data overload: IoT devices generate vast amounts of data, which can overwhelm businesses that are not prepared to handle it. Analyzing this data and extracting meaningful insights can be a significant challenge, especially for businesses that lack the necessary analytics tools and expertise.

Cost and complexity: Implementing an IoT system can be costly and complex, requiring significant investments in hardware, software, and infrastructure. Managing and maintaining an IoT system can also be challenging, requiring specialized skills and expertise.

Regulatory and legal challenges: As IoT devices become more widespread, regulatory, and legal challenges are emerging. Businesses need to comply with various data protection, privacy and cybersecurity regulations, which can vary from country to country.

Managing IoT devices can be a complex and challenging task, but there are several best practices that businesses can follow to ensure that their IoT devices are secure, reliable, and optimized for performance. Here are some tips for managing IoT devices:

Plan your IoT strategy: Before deploying any IoT devices, businesses should have a clear understanding of their objectives, use cases and desired outcomes. This can help them choose the right devices, IoT platforms and technologies, and ensure that their IoT strategy is aligned with their business goals.

Choose secure IoT products: Security is a critical consideration for IoT solutions, as they can be vulnerable to cyberattacks. Businesses should choose devices that are designed with security in mind and implement appropriate security systems, such as encryption, authentication, and access controls.

Monitor and maintain devices: IoT devices need to be monitored and maintained regularly to ensure that they are performing optimally and are not vulnerable to security threats. This can involve monitoring device health and performance, updating firmware and software and conducting regular security audits and predictive maintenance.

Manage data effectively: IoT devices generate vast amounts of real-world data, which can be challenging to manage and analyze. Businesses should have a clear data management strategy in place, including data storage, analysis, and visualization. To ensure that they can extract meaningful insights from the data that is generated by their IoT devices.

Build an ecosystem: IoT devices are often part of a larger ecosystem that includes other devices, platforms, and technologies. Businesses should have a clear understanding of this ecosystem and ensure that their IoT devices can integrate effectively with other systems and technologies.

The future of IoT is promising, with many exciting developments for businesses on the horizon. Here are some of the trends and predictions for the future of IoT:

Growth: The number of IoT devices is expected to continue to grow rapidly, with estimates suggesting that there will be tens of billion IoT devices in use over the next few years. This growth will be driven by increased adoption across industries, as well as the development of new use cases and applications.

Edge computing: Edge computing is becoming increasingly important for IoT, as it allows data to be processed and analyzed closer to the source of the data, rather than in a centralized data center. This can improve response times, reduce latency and reduce the amount of data that needs to be transferred over IoT networks.

Artificial intelligence and machine learning: AI and machine learning are becoming increasingly important for IoT, as they can be used to analyze vast amounts of data that is generated by IoT devices and extract meaningful insights. This can help businesses make more informed decisions and optimize their operations.

Blockchain: Blockchain technology is being explored as a way to improve security and privacy in the IoT. Blockchain can be used to create secure, decentralized networks for IoT devices, which can minimize data security vulnerabilities.

Sustainability: Sustainability is becoming an increasingly important consideration for IoT, as businesses look for ways to reduce their environmental impact. IoT can be used to optimize energy usage, reduce waste and improve sustainability across a range of industries.

The future of IoT is exciting, with many new developments and innovations on the horizon, with providers of devices offering attractive pricing, as the cost of IoT device production declines. As the number of IoT devices continues to grow, businesses need to be prepared to adapt to new technologies and embrace new use cases and applications. Those that are able to do so will be positioned to reap the benefits of this transformative technology.

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List of IOT Internet of Things Research Topics Areas

Research Topics Areas on IOT Internet of Things.

• Processing distributed internet of things data in clouds
• Internet of things (IoT): Present state and future prospects
• Internet of things: Vision, applications and challenges
• Blockchain with internet of things: Benefits, challenges, and future directions
• Reference architectures for the internet of things
• The security issues of the Internet of Things
• Internet of Things in arable farming: Implementation, applications, challenges and potential
• Three questions about the Internet of things and children
• Mobile internet of things under data physical fusion technology
• Sensing as a service model for smart cities supported by internet of things
• A framework for automating security analysis of the internet of things
• Supply chain management in the era of the internet of things
• Re-thingifying the Internet of Things
• Emerging wireless technologies in the internet of things: a comparative study
• Authentication and access control in the internet of things
• The internet of things promoting higher education revolution
• Internet of things and big data analytics for smart and connected communities
• A survey of internet of things (IoT) authentication schemes
• Fog computing and the internet of things: A review
• Application of Internet of Things in logistics–current challenges
• Internet of Things (IOT): An overview and its applications
• Study on the architecture and associated technologies for internet of things
• Enchanted objects: Design, human desire, and the Internet of things
• Machine learning for security and the internet of things: the good, the bad, and the ugly
• Internet of Things: Energy boon or bane?
• Internet of things: features, challenges, and vulnerabilities
• On the security and privacy of Internet of Things architectures and systems
• Thoughts on reliability in the internet of things
• Fear and logging in the internet of things
• A blockchain future for internet of things security: a position paper
• Agentification of the Internet of Things: A systematic literature review
• Remote monitoring information system and its applications based on the Internet of Things
• Everything you wanted to know about smart cities: The internet of things is the backbone
• Social behaviometrics for personalized devices in the internet of things era
• A survey on security and privacy issues in Internet-of-Things
• Reliability in Internet of Things: Current status and future perspectives
• Convergence of utility computing with the internet-of-things
• COMPOSE–A Journey from the Internet of Things to the Internet of Services
• On security challenges and open issues in Internet of Things
• Big data analysis of Internet of Things system
• Internet of things forensics–challenges and a case study
• The internet of things
• Software engineering for the internet of things
• Interoperability of security-enabled internet of things
• The internet of things: Industrie 4.0 unleashed
• Wearable devices in medical internet of things: scientific research and commercially available devices
• Ubiquitous ID: standards for ubiquitous computing and the internet of things
• Tracking the evolution of the internet of things concept across different application domains
• Security testbed for Internet-of-Things devices
• Spectrum sharing for Internet of Things: A survey
• Systems computing challenges in the internet of things
• Internet entrepreneurship and “the sharing of information” in an Internet-of-Things context
• Control systems and the internet of things [technical activities]
• Smart, autonomous and reliable Internet of Things
• The internet of things: Opportunities, issues, and challenges
• Survey on multi-access edge computing for internet of things realization
• Distributed ledger technology and the internet of things: A feasibility study
• Internet of things for sustainable community development
• Evolving privacy: From sensors to the Internet of Things
• Internet of things: Opportunities and challenges to business, society, and is research
• SecIoT: a security framework for the Internet of Things
• Prototyping connected devices for the internet of things
• A performance evaluation of container technologies on internet of things devices
• [DOC][DOC] How the internet of things changes everything
• Use of Internet of Things (IoT) in healthcare: A survey
• Comparison of the device lifetime in wireless networks for the internet of things
• Internet of Things and M2M Communications
• Internet of things: a new paradigm
• Reliability for emergency applications in internet of things
• Internet of things security and privacy
• Virtual reality in the context of Internet of Things
• Security challenges of the Internet of Things
• A reliable communication framework and its use in internet of things (IoT)
• Study on application modes of military Internet of Things (MIOT)
• Low-energy security: Limits and opportunities in the internet of things
• A lightweight authentication protocol for internet of things
• An intelligent self-organization scheme for the internet of things
• Mobile digcovery: discovering and interacting with the world through the internet of things
• Toward efficient smartification of the Internet of Things (IoT) services
• From” smart objects” to” social objects”: The next evolutionary step of the internet of things
• A decentralized approach for security and privacy challenges in the internet of things
• Access control in Internet-of-Things: A survey
• Towards application development for the internet of things
• State-of-the-art and developing strategies of agricultural internet of things.
• Maritime internet of things: challenges and solutions
• LEO satellite constellation for Internet of Things
• Internet of things and big data technologies for next generation healthcare
• Internet of Things: A Review on Technologies, Architecture, Challenges, Applications, Future Trends.
• A study on cloud based Internet of Things: CloudIoT
• Internet of things for water sustainability
• Service oriented middleware for the internet of things: A perspective
• Internet of things in marine environment monitoring: A review
• Internet of things
• Bitbarista: exploring perceptions of data transactions in the Internet of Things
• A review on internet of things for defense and public safety
• A survey on the Internet of Things security
• Internet of things (IoT) overview
• The nebulastream platform: Data and application management for the internet of things
• The things of the internet of things in BPMN
• Networking protocols and standards for internet of things
• Internet of things for environmental sustainability and climate change
• A review of security concerns in Internet of Things
• An intelligent robust networking mechanism for the Internet of Things
• Multimodal representation learning for recommendation in Internet of Things
• Internet of things: part 2
• Wireless energy harvesting for the Internet of Things
• WebIoT: A web application framework for the internet of things
• Iot gateway: Bridgingwireless sensor networks into internet of things
• Internet of things driven connected healthcare
• Compressed sensing signal and data acquisition in wireless sensor networks and internet of things
• Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture
• Knowledge representation in the internet of things: semantic modelling and its applications
• A survey on access control in the age of internet of things
• Research on data security technology in internet of things
• A survey on visual programming languages in internet of things
• An architecture based on internet of things to support mobility and security in medical environments
• Will the internet of things transform healthcare
• Narrowband internet of things: Simulation and modeling
• Security challenges for the internet of things
• Internet of Things (IoT) cybersecurity research: A review of current research topics
• Internet of Things: security and privacy implications
• Do objects dream of an Internet of Things?
• As objects go online; the promise (and pitfalls) of the internet of things
• Blockchain platform for industrial internet of things
• The internet of things: Opportunities and challenges for distributed data analysis
• Securing the Internet of Things in a quantum world
• Creating values out of internet of things: an industrial perspective
• Data quality in internet of things: A state-of-the-art survey
• Lightweight cryptography for the internet of things
• Connecting agriculture to the internet of things through sensor networks
• A novel secure architecture for the internet of things
• Internet of things in smart grid: Architecture, applications, services, key technologies, and challenges
• When cognitive radio meets the Internet of Things?
• Curriculum considerations for the internet of things
• Key management systems for sensor networks in the context of the Internet of Things
• Enabling qos in the internet of things
• The research of access control based on UCON in the internet of things
• A decade of Internet of Things: Analysis in the light of healthcare applications
• The internet of things in manufacturing: Key issues and potential applications
• Privacy-preserving content-oriented wireless communication in internet-of-things
• Internet of Things with ESP8266
• Unlocking opportunities in the internet of things
• A collaborative internet of things architecture for smart cities and environmental monitoring
• Middleware support for the” Internet of Things”
• Privacy in internet of things: from principles to technologies
• A capability-based security approach to manage access control in the internet of things
• Opportunistic IoT: Exploring the harmonious interaction between human and the internet of things
• The role of edge computing in internet of things
• Internet of things: architectures, protocols and standards
• New advances in the internet of things
• Role of internet of things in the smart grid technology
• Application study on internet of things in environment protection field
• Leveraging the internet of things for a more efficient and effective military
• Internet of things in the 5G era: Enablers, architecture, and business models
• The emerging enernet: Convergence of the smart grid with the internet of things
• Internet of Things in agriculture: A survey
• Internet of Things: Application and prospect
• A comprehensive survey on Internet of Things (IoT) toward 5G wireless systems
• Consumer and object experience in the internet of things: An assemblage theory approach
• Understanding the internet of things: A conceptualisation of business-to-thing (B2T) interactions
• Internet of Things: A survey on the security of IoT frameworks
• The Internet of Things: First International Conference, IOT 2008, Zurich, Switzerland, March 26-28, 2008, Proceedings
• A survey on Internet of Things: Applications and challenges
• The research and implement of smart home system based on internet of things
• Agent-based Internet of Things: State-of-the-art and research challenges
• Internet of Things (IoT) for building smart home system
• Sensor search techniques for sensing as a service architecture for the internet of things
• Examining potential benefits and challenges associated with the Internet of Things integration in supply chains
• Sprintz: Time series compression for the internet of things
• Internet of things for smart railway: feasibility and applications
• Growing opportunities in the Internet of Things
• Internet of things and big data analytics toward next-generation intelligence
• Future edge cloud and edge computing for internet of things applications
• Internet of things for sustainable mining
• Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges
• A survey study on internet of things resource management
• SIoT: Securing Internet of Things through distributed systems analysis
• Internet of things for sustainable human health
• A tutorial on the internet of things: from a heterogeneous network integration perspective
• SDN and virtualization solutions for the Internet of Things: A survey
• Internet of things: Genesis, challenges and applications
• Internet of things laboratory test bed
• A survey on energy efficient narrowband internet of things (NBIoT): Architecture, application and challenges
• Raspberry Pi as Internet of things hardware: performances and constraints
• The “Internet of Things”: What it is and what it means for libraries
• Wireless connectivity for the Internet of Things
• The relation of artificial intelligence with internet of things: A survey
• The visions, technologies, applications and security issues of Internet of Things
• A progressive search paradigm for the internet of things
• Privacy and security in internet of things and wearable devices
• The Internet of Things—A comprehensive survey
• Trust management techniques for the Internet of Things: A survey
• Architecture and measured characteristics of a cloud based internet of things
• Intelligent device-to-device communication in the internet of things
• Internet of Things-enabled smart cities: State-of-the-art and future trends
• Taxonomy and analysis of security protocols for Internet of Things
• Internet of things based on smart objects: Technology, middleware and applications
• A DTLS-based security architecture for the Internet of Things
• Secure mqtt for internet of things (iot)
• Towards security on internet of things: applications and challenges in technology
• Block chain enabled internet of things
• The Role of the Internet of Things in the Improvement and Expansion of Business
• Health care service delivery based on the Internet of things: A systematic and comprehensive study
• Challenges to securing the Internet of Things
• A system based on the internet of things for real-time particle monitoring in buildings
• Internet of Things: A survey on architecture, technologies, protocols and challenges
• Embedded system design: embedded systems foundations of cyber-physical systems, and the internet of things
• Security risk assessment in Internet of Things systems
• Guidelines for internet of things deployment approaches–the thing commandments
• A security framework for the internet of things in the future internet architecture
• Pax Technica: How the Internet of things may set us free or lock us up
• Internet of things (IoT) applications to fight against COVID-19 pandemic
• Internet of things: A review of surveys based on context aware intelligent services
• Internet of things in agricultural innovation and security
• Black SDN for the Internet of Things
• Future developments in cyber risk assessment for the internet of things
• Internet of things for sensing: A case study in the healthcare system
• Intrusion detection systems in the Internet of things: A comprehensive investigation
• Living with internet of things: The emergence of embedded intelligence
• Microlocation for internet-of-things-equipped smart buildings
• Software-defined industrial internet of things in the context of industry 4.0
• Security model and key technologies for the Internet of things
• The internet of things: new interoperability, management and security challenges
• The implementation of the Internet of Things: What impact on organizations?
• Internet of Things: Visions, technologies, and areas of application
• Internet of things: A comparative study
• Big data on the internet of things: An example for the e-health
• Study on the architecture and key technologies for Internet of Things
• A novel report on architecture, protocols and applications in Internet of Things (IoT)
• When blockchain meets Internet of Things: Characteristics, challenges, and business opportunities
• Internet of Things (IoT) and new computing paradigms
• Mobile fog: A programming model for large-scale applications on the internet of things
• Fog computing for the internet of things: A survey
• Estimating the impact of the Internet of Things on productivity in Europe
• A platform for integrating physical devices in the Internet of Things
• Experimental environments for the Internet of Things: A review
• DTLS based security and two-way authentication for the Internet of Things
• The role of big data analytics in industrial Internet of Things
• The Internet of Things (Iot): a scalable approach to connecting everything
• The application of internet of things in healthcare: a systematic literature review and classification
• Mapping the internet of things
• Smart cities and internet of things
• Internet of things security research: A rehash of old ideas or new intellectual challenges?
• The virtual object as a major element of the internet of things: a survey
• Data management for the internet of things: Design primitives and solution
• On perspective of security and privacy-preserving solutions in the internet of things
• Fog computing for the internet of things: Security and privacy issues
• Research on Global Internet of Things’ Developments and It’ s Lonstruction in China [J]
• Internet of Things (IoT) operating systems management: Opportunities, challenges, and solution
• Commodifying Consumer Data in the Era of the Internet of Things
• A business model type for the internet of things
• The software fabric for the internet of things
• Internet of things in industries: A survey for sustainable development
• Challenges of securing Internet of Things devices: A survey
• Advances onto the Internet of Things
• SDN-based data transfer security for Internet of Things
• A cooperative Internet of Things (IoT) for rural healthcare monitoring and control
• Technology classification, industry, and education for Future Internet of Things
• Analysis of eight data mining algorithms for smarter Internet of Things (IoT)
• Machine learning ddos detection for consumer internet of things devices
• Context information sharing for the Internet of Things: A survey
• Security challenges in internet of things: survey
• Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges
• Security of the Internet of Things: Vulnerabilities, attacks, and countermeasures
• Internet of Things: A survey on machine learning-based intrusion detection approaches
• Internet of things and cloud computing for future internet
• Almanac: Internet of things for smart cities
• Internet of Things (IoT) for smart precision agriculture and farming in rural areas
• A study of LoRa: Long range & low power networks for the internet of things
• IoT platforms: enabling the Internet of Things
• Internet of Things for e-Health: An approach to medical applications
• A survey on authentication techniques for the internet of things
• Internet of Things–the future of managing supply chain risks
• Assessment of the Suitability of Fog Computing in the Context of Internet of Things
• Internet of Things (IoT) in 5G mobile technologies
• Internet of things: Survey on security
• An Internet of Things (IoT) architecture for embedded appliances
• Future internet of things architecture: like mankind neural system or social organization framework?
• A state of the art review on the Internet of Things (IoT) history, technology and fields of deployment
• Securing fog computing for internet of things applications: Challenges and solutions
• Internet of things: a survey
• Design architectures for energy harvesting in the Internet of Things
• Positioning for the internet of things: A 3GPP perspective
• The Internet of Things: Enabling technologies, platforms, and use cases
• Smart cities and the Internet of Things
• MySQL for the Internet of Things
• An Internet of things approach for motion detection using Raspberry Pi
• OSCAR: Object security architecture for the Internet of Things
• Energy management based on Internet of Things: practices and framework for adoption in production management
• A framework for evaluating Internet-of-Things platforms: Application provider viewpoint
• Building Arduino Projects for the Internet of Things
• The monitoring and managing application of cloud computing based on Internet of Things
• Securing real-time internet-of-things
• Scanning for vulnerable devices in the Internet of Things
• The internet of things in manufacturing innovation processes: development and application of a conceptual framework
• Information-centric networking for the internet of things: challenges and opportunities
• Internet of Things and data mining: From applications to techniques and systems
• The zero marginal cost society: The internet of things, the collaborative commons, and the eclipse of capitalism
• An integrated approach to common problems in the Internet of Things
• RFID security in the context of” internet of things”
• Business development in the Internet of Things: A matter of vertical cooperation
• Middleware solutions for the Internet of Things
• Integration of cloud computing with internet of things: challenges and open issues
• A survey on the internet of things (IoT) forensics: challenges, approaches, and open issues
• Toward edge-assisted Internet of Things: From security and efficiency perspectives
• A comprehensive review on usage of Internet of Things (IoT) in healthcare system
• Internet of things (iot): Research, simulators, and testbeds
• Sensing for the Internet of Things and its applications
• Internet of things for smart agriculture: Technologies, practices and future direction
• Influence of characteristics of the Internet of Things on consumer purchase intention
• Internet of Things (IoT): Taxonomy of security attacks
• Security considerations for Internet of Things
• Communication in internet of things
• Resource allocation mechanisms and approaches on the Internet of Things
• Management platforms and protocols for internet of things: A survey
• The Internet of Things (IoT) and its application domains
• Internet of Things and edge cloud computing roadmap for manufacturing
• Health monitoring and management using Internet-of-Things (IoT) sensing with cloud-based processing: Opportunities and challenges
• The Internet of Things and the Fourth Amendment of effects
• Entropy theory of distributed energy for internet of things
• Perception layer security in Internet of Things
• A survey based on Smart Homes system using Internet-of-Things
• Developing Mobile Workflow Support in the Internet of Things.
• On the authentication of devices in the Internet of Things
• A novel scheme for an energy efficient Internet of Things based on wireless sensor networks
• An internet-of-things (IoT) network system for connected safety and health monitoring applications
• Internet of Things (IoT) enabled water monitoring system
• Machine learning in the Internet of Things: Designed techniques for smart cities
• Ble beacons for internet of things applications: Survey, challenges, and opportunities
• Internet of things (IoT): Operating system, applications and protocols design, and validation techniques
• A framework for modeling and assessing security of the internet of things
• Internet of Things—Architecture, applications, security and other major challenges
• A survey of Internet of Things (IoT) for geohazard prevention: Applications, technologies, and challenges
• Building the Internet of Things with bluetooth smart
• Research prospect of Internet of Things geography
• The application of cloud computing and the internet of things in agriculture and forestry
• Iotabench: an internet of things analytics benchmark
• Authentication techniques for the internet of things: A survey
• Any thing for anyone? A new digital divide in internet-of-things skills
• Scalable cloud–sensor architecture for the Internet of Things
• Wide-area wireless communication challenges for the Internet of Things
• Industrial internet of things
• A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements
• Dynamic gesture recognition in the internet of things
• Urban planning and building smart cities based on the internet of things using big data analytics
• Security in internet of things: Opportunities and challenges
• Survey on security in Internet of Things: State of the art and challenges
• Challenges of the internet of things: Technique, use, ethics
• LEGIoT: A lightweight edge gateway for the Internet of Things
• Distributed attack detection scheme using deep learning approach for Internet of Things
• Modeling of information processing in the internet of things at agricultural enterprises
• A survey on role of internet of things in education
• The internet of things for smart cities: Technologies and applications
• Internet of things enabled manufacturing: a review
• The economics of the Internet of Things in the Global South
• Microservices approach for the internet of things
• The Internet of things: from RFID to the next-generation pervasive networked systems
• Health Internet of Things: Metrics and methods for efficient data transfer
• The Internet of Things (IoT): A study of architectural elements
• COMFIT: A development environment for the Internet of Things
• Ownership of personal data in the Internet of Things
• Internet-of-Things and big data for smarter healthcare: From device to architecture, applications and analytics
• The internet of things: Limitless opportunities for business and society
• Research directions on the adoption, usage, and impact of the internet of things through the use of big data analytics
• Smart home: Integrating internet of things with web services and cloud computing
• The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems
• Market and Technical Trends of internet of things
• Internet of Things (IoT) security: Current status, challenges and countermeasures
• Understanding the factors affecting the adoption of the Internet of Things
• The Internet of Things—A problem statement
• Trust management mechanism for Internet of Things
• A novel secure data transmission scheme in industrial internet of things
• Adopting Internet of Things for the development of smart buildings: A review of enabling technologies and applications
• Design THINGS for the Internet of Things—An EDA perspective
• Optimization of Routes in the Internet of Things
• Internet of Things: An exploration study of opportunities and challenges
• Low-power wide area network technologies for internet-of-things: A comparative review
• Making internet of things real
• Low-power wireless for the Internet of Things: Standards and applications
• From the Internet of things to the Internet of the physical world
• Internet of Things (IoT): Security challenges, business opportunities & reference architecture for E-commerce
• A survey: DDOS attack on Internet of Things
• Internet of things platform for smart farming: Experiences and lessons learnt
• IDIoT: Securing the Internet of Things like it’s 1994
• Internet of things: Survey on security and privacy
• A categorization of discovery technologies for the internet of things
• Internet of things in smart agriculture: Enabling technologies
• Towards a practical architecture for the next generation internet of things
• Intelligent traffic information system based on integration of Internet of Things and Agent technology
• Regulation and governance of the Internet of Things in India
• The extreme edge at the bottom of the Internet of Things: A review
• Trustworthiness management in the social internet of things
• An internet of things
• Preserving privacy in internet of things: a survey
• Guest Editorial-Special issue on internet of things (IoT): Architecture, protocols and services
• Value co-creation with Internet of things technology in the retail industry
• Toward the Internet of Things application and management: A practical approach
• An internet of things based intelligent transportation system
• QoS-aware scheduling of services-oriented internet of things
• Security analysis of the constrained application protocol in the Internet of Things
• Trust architecture and reputation evaluation for internet of things
• Internet of things for smart ports: Technologies and challenges
• The internet of things for smart manufacturing: A review
• Context-aware computing, learning, and big data in internet of things: a survey
• Application of blockchain in collaborative Internet-of-Things services
• Architecture design of the internet of things based on cloud computing
• Machine learning for wireless communications in the Internet of Things: A comprehensive survey
• Internet of Things architecture and applications: a survey
• Internet-of-Things security and vulnerabilities: Taxonomy, challenges, and practice
• Optimization processes in the internet of things system at agricultural enterprises
• A survey on fog computing for the Internet of Things
• The cooperative internet of things enabled smart grid
• The applications of wifi-based wireless sensor network in internet of things and smart grid
• Create Your Own Internet of Things: A survey of IoT platforms.
• The Internet of Things (IoT) in retail: Bridging supply and demand
• An internet of things for healthcare
• Efficient energy management for the internet of things in smart cities
• A unified design of massive access for cellular Internet of Things
• A study on Internet of Things in IT Convergence Period
• A dependability evaluation tool for the Internet of Things
• The internet of things: The role of reconfigurable platforms
• Internet of Things (IoT): definitions, challenges and recent research directions
• A review on Internet of Things (IoT) in healthcare
• A survey on the internet-of-things: standards, challenges and future prospects
• A green and reliable internet of things
• An adaptive method for data reduction in the internet of things
• English interactive teaching model which based upon Internet of Things
• Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems
• When things matter: A data-centric view of the internet of things
• Trends in the Internet of Things?
• Securing the Internet of Things a military perspective
• Blockchain and its Role in the Internet of Things (IoT)
• Internet of things: architecture, security issues and countermeasures
• The internet of things (iot)
• Thing relation modeling in the Internet of Things
• Privacy-by-design framework for assessing internet of things applications and platforms
• Enabling technologies for green internet of things
• Internet of Things: Security challenges for next generation networks
• The Internet of Things (IoT) and its impact on individual privacy: An Australian perspective
• Mobile unmanned aerial vehicles (UAVs) for energy-efficient Internet of Things communications
• Autonomic schemes for threat mitigation in Internet of Things
• Middleware for the internet of things, design goals and challenges
• Understanding business ecosystem using a 6C framework in Internet-of-Things-based sectors
• Internet of Things: information security challenges and solutions
• Internet of things support for marketing activities
• Internet-of-Things (IoT)-based smart agriculture: Toward making the fields talk
• Notice of Removal: Internet of things: Survey and case studies
• A literature survey on Internet of Things (IoT)
• A survey on technological, business and societal aspects of Internet of Things by Q3, 2017
• SDIoT: a software defined based internet of things framework
• Security and privacy on internet of things
• Process-aware internet of things: A conceptual extension of the internet of things framework and architecture
• Green internet of things for smart world
• Internet of Things and Co-creation of Value
• Securing internet of things with software defined networking
• The internet of things as a global policy frontier
• FairAccess: a new Blockchain-based access control framework for the Internet of Things
• Synthetic knowing: The politics of the internet of things
• The emergence of Internet of Things (IoT): Connecting anything, anywhere

Research Topics Computer Science

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The Internet of Things—A survey of topics and trends

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Internet of Things

About one-in-five americans use a smart watch or fitness tracker.

Around three-in-ten Americans living in households earning $75,000 or more a year say they regularly wear a smart watch or fitness tracker.

5 things to know about Americans and their smart speakers

As Americans integrate smart speakers into their homes, many owners express concerns over data collection and personalization. Here are five key findings.

Experts Optimistic About the Next 50 Years of Digital Life

Fifty years after the first computer network was connected, most experts say digital life will mostly change things for the better in coming decades. But they say this will require reforms toward better cooperation and security, basic rights and economic fairness.

Shareable quotes from experts on the future of the Internet of Things connectivity binge

Predictions from experts about online connectivity in the next decade, from @pewresearch and @ImagineInternet.

The Internet of Things Connectivity Binge: What Are the Implications?

Despite broad concerns about cyberattacks, outages and privacy violations, most experts believe the Internet of Things will continue to expand successfully the next few years.

The Internet of Things and Future Shock: Too Much Change Too Fast?

Lee Rainie spoke on May 10, 2017, to the American Bar Association’s Section of Science and Technology Law about the rise of the Internet of Things and its implications for privacy and cybersecurity.

How will the Internet of Things look by 2025?

Lee Rainie will present findings from Pew Research Center’s report titled “The Internet of Things Will Thrive by 2025” to the American Bar Association Section of Science & Technology law on March 30, 2016.

The Next Digital Disruptions

Lee Rainie discusses three technology revolutions of the past decade and how a fourth revolution is now underway at the State of the Net 2015 conference in Milan, Italy.

The Fourth Digital Revolution

Lee Rainie discusses the rise of the internet of things and how all the data it creates will enrich the picture we have about what is happening in communities and media.

Knowledge Sharing in the Networked World of the Internet of Things

At KMWorld Confererence, Lee Rainie shares the latest findings from Pew Research about the internet and puts it into organizational context with the expanding Inter­net of Things.

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