Intelligent IoT Systems: Challenges and Opportunities in Sensing, Computing, and Communications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 4398

Special Issue Editors


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Guest Editor
Assistant Professor, Department of Artificial Intelligence and Big Data, Woosong University, Daejeon, Republic of Korea
Interests: Internet of Things (IoT); cyber security; edge computing; blockchain technology; artificial intelligence
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Guest Editor
Department of Computer Science, University of Huddersfield, Huddersfield HD1 3DH, UK
Interests: applied AI; digital health; machine learning; deep learning; data science; 5G/6G communications; IoT and security
Special Issues, Collections and Topics in MDPI journals
College of Science and Engineering, James Cook University, Smithfield, QLD 4878, Australia
Interests: deep learning; intelligent sensing; computer vision; pattern recognition; wireless communications; IoT security
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Sensing, computing, and communications for the intelligent Internet of Things (IoT) involves the combination of technologies and methods used to facilitate communication, data collection and analysis, as well as decision-making in IoT systems. The data and information between IoT devices, such as sensors, actuators, and gateways, are transmitted using various wireless technologies (e.g., Wi-Fi, Zigbee, cellular networks). IoT sensors and devices collect a variety of data from different sources. Whereas IoT devices are used to collect temperature, humidity, light, or other physical parameters for environment monitoring and related applications, they can also collect body vitals and physiological data for health monitoring purposes. Subsequently, appropriate data analysis is required to produce informed decisions. This can involve running algorithms locally on the device or sending data to the cloud for processing. By combining these three elements, intelligent IoT systems can be developed that can sense, process, and respond to changes in their environment, enabling new and innovative applications in areas such as home automation, smart cities, and industrial automation. This Special Issue aims to provide a platform for exchanging ideas and knowledge, and to advance the understanding of an intelligent IoT system.

We welcome researchers and practitioners to contribute original research articles, review articles, case studies, and/or short communications that address the latest developments, challenges, and opportunities in intelligent IoT systems.

Potential topics for this Special Issue include, but are not limited to:

  1. Reconfigurable network architectures, communication algorithms, and software to enhance decision optimality.
  2. Artificial-intelligence-enabled sensing, communication, and network management to improve performance and interoperability.
  3. Adaptive cross-layer platforms and optimization solutions for IoT networks with constrained embedded sensors.
  4. IoT-assisted digital twins for industrial applications to enhance operational efficiency.
  5. Secure data storage and management systems for data protection and authorized access in IoT integrated distributed computing.
  6. Robust trust, security and privacy solutions for users, data, IoT devices, and communications.
  7. Intelligent intrusion/malware detection and trust assessment systems to reduce algorithmic and programming effort.
  8. Tools, software, and frameworks for operational intelligent IoT.
  9. Applications and validations of intelligent IoT.
  10. Sensing, computing, and communications for social media frameworks and applications.
  11. Relevant technology convergence issues and standard activities.
  12. Business models and service frameworks with intelligent IoT systems and applications.

Dr. A. S. M. Sanwar Hosen
Dr. S. M. Riazul Islam
Dr. Tao Huang
Guest Editors

Manuscript Submission Information

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Published Papers (2 papers)

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Research

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24 pages, 2895 KiB  
Article
The Integral Role of Intelligent IoT System, Cloud Computing, Artificial Intelligence, and 5G in the User-Level Self-Monitoring of COVID-19
by Sajjad Ahmed, Jianming Yong and Anup Shrestha
Electronics 2023, 12(8), 1912; https://doi.org/10.3390/electronics12081912 - 18 Apr 2023
Cited by 4 | Viewed by 1807
Abstract
This study presents internet of things (IOT) and artificial intelligence technologies that are critical in reducing the harmful effects of this illness and assisting its recovery. It explores COVID-19’s economic impacts before learning about new technologies and potential solutions. The research objective was [...] Read more.
This study presents internet of things (IOT) and artificial intelligence technologies that are critical in reducing the harmful effects of this illness and assisting its recovery. It explores COVID-19’s economic impacts before learning about new technologies and potential solutions. The research objective was to propose a solution for self-diagnosis, self-monitoring, and self-management of COVID-19 with personal mobiles and personal data using cloud solutions and mobile applications with the help of an intelligent IoT system, artificial intelligence, machine learning, and 5G technologies. The proposed solution based on self-diagnosis without any security risk for users’ data with low cost of cloud-based data analytics by using handsets only is an innovative approach. Since the COVID-19 outbreak, the global social, economic, religious, and cultural frameworks and schedules have been affected adversely. The fear and panic associated with the new disease, which the world barely knew anything about, amplified the situation. Scientists and epidemiologists have traced the first outbreak of COVID-19 at Wuhan, China. A close examination of the genetic makeup of the virus showed that the virus is zoonotic, meaning that the virus changed hosts from animals to humans. The uncertainty associated with the above features and characteristics of the virus, as well as the high mortality rates witnessed in many parts of the globe, significantly contributed to the widespread global panic that brought the world to a standstill. Different authorities and agencies associated with securing the public have implemented different means and methods to try and mitigate the transmission of the infection as scientists and medical practitioners work on remedies to curb the spread of COVID-19. Owing to different demographics, different parts of the globe have attempted to effectively implement locally available resources to efficiently fight and mitigate the adverse effects of the COVID-19 pandemic. The general framework provided by the World Health Organization (WHO) has been implemented or enhanced in different parts of the globe by locally available resources and expertise to effectively mitigate the impact of COVID-19. There is currently no effective vaccine for COVID-19, but new technology can be available within weeks to reduce the spread of the disease; current approaches such as contact tracing and testing are not secure, and the cost of testing is high for end users. The proposed solution based on self-diagnosis without any security risk for users’ data with low cost of cloud-based data analytics functions by using an intelligent internet of things (IOT) system for collecting sensors data and processing them with artificial intelligence to improve efficiency and reduce the spread of COVID-19. Full article
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Review

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21 pages, 1482 KiB  
Review
Trends in LPWAN Technologies for LEO Satellite Constellations in the NewSpace Context
by Oscar Ledesma, Paula Lamo and Juan A. Fraire
Electronics 2024, 13(3), 579; https://doi.org/10.3390/electronics13030579 - 31 Jan 2024
Cited by 2 | Viewed by 1796
Abstract
This study applies satellite constellations in Internet of Things (IoT) communications, specifically within low-power wide-area network (LPWAN) technologies in the NewSpace context. It comprehensively categorizes and describes the functionality and typology of low Earth orbits (LEOs), examines the societal impacts of these technologies, [...] Read more.
This study applies satellite constellations in Internet of Things (IoT) communications, specifically within low-power wide-area network (LPWAN) technologies in the NewSpace context. It comprehensively categorizes and describes the functionality and typology of low Earth orbits (LEOs), examines the societal impacts of these technologies, and provides an in-depth analysis of IoT communication architectures and protocols utilizing satellites. Additionally, the study identifies and addresses the challenges faced in this domain while highlighting future trends and developments. By collating and synthesizing pertinent information, this research offers a thorough overview of the opportunities and challenges in this evolving field of study. Full article
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