Challenges, Opportunities and Applications of Internet of Things (IoT)
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 June 2025) | Viewed by 1021
Special Issue Editors
Interests: Internet of Things; future internet: distributed computing; cloud computing; distributed middleware services; distributed applications and services; mobile healthcare/assisted living; autonomic computing: self-healing systems
Special Issues, Collections and Topics in MDPI journals
Interests: Internet of Things (IoT); digital twins; Industry 4.0; machine learning; smart healthcare; cyber physical systems
Special Issues, Collections and Topics in MDPI journals
Interests: Internet of Things; digital healthcare; physical activity classification; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Internet of Things (IoT) have transformed the smart systems and environments. Thanks to IoT, significant transformation from conventional systems to smart systems has become possible. Emerging technologies, such as the Internet of Things (IoT), artificial intelligence (AI), big data analytics, smart manufacturing, digital twins, cognitive intelligence, and cyberphysical systems, have played a significant role in the realisation of next-gen smart systems and applications.
The Internet of Things (IoT) offers challenges and opportunities across various sectors. Ensuring the reliability and resilience of IoT networks, managing the vast amounts of data generated by IoT devices, and addressing regulatory and compliance issues pose significant hurdles.
With the rapid advancements in the IoT, it is vital to disseminate knowledge among the research community and stakeholders to adopt new trends and advancements. Therefore, we invite colleagues in the research community and from industry to disseminate their novel contributions to the domain of IoT and IoT-enabled environments, with a special focus on, but not limited to, the following:
- AI-empowered innovative solutions for IoT;
- Developing and building new models and architectures for the IoT;
- Ultra-reliable low latency communications (URLLC) in the IoT;
- Machine-learning-based smart IoT solutions;
- Decision support systems for IoT;
- Role of IoT in digital twin modelling;
- Cloud-based IoT solutions;
- Data mining techniques for IoT-enabled environments;
- Industrial Internet of Things;
- Internet of Medical Things;
- IIoT for regulatory and supervisory control systems;
- Energy harvesting and energy budgeting in the IoT;
- Data routing in IoT;
- IoT-enabled cyberphysical systems;
- Big data analytics and process optimization;
- Cutting-edge technologies in IoT;
- Performance, scalability, and reliability in the IoT.
Prof. Dr. Ella Pereira
Dr. Mohsin Raza
Dr. Muhammad Awais
Guest Editors
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Keywords
- IoT
- IoMT
- IIoT
- AI
- digital twins
- smart systems
- routing
- machine learning
- IoT framework
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