Collection
The Evolution of Next Generation Internet of Things: Applications & Future Directions
Modern society shows an increasing need to establish a robust framework of digital operations in all application domains to facilitate all aspects of our everyday life, improve the quality of living and foster reduced human intervention on a worldwide scale. This is especially true for the Cloud-Edge-MetaOS domain where a vast number of sensors is expected to be utilised in all subsequent fields, where IoT is an integral part. Examples include precision agriculture and environmental monitoring for field and livestock observation, in healthcare for ensuring the treatment and quality of life for patients as well as for asset management, retail and manufacturing operations. The Internet of Things (IoT) and its evolutions are technologies that require the use of a massive amount of data from edge devices and sensors. It should be able to efficiently and securely handle this information while offering advanced automation control and cognitive decision support. However, achieving reliability in smart and decentralised applications is a challenge due to preserving low-latency communication links, high throughput information processing and actuation.
This Topical Collection aims to attract the submissions that address the innovations and technological gaps towards the deployment of real-time next generation Internet of Things services and applications. Original papers are solicited on topics of interest that include, but are not limited to:
a) MetaOS & NG-IoT standards, communication protocols and open-source frameworks;
b) NG-IoT testbeds, paradigms, and applications;
c) Edge Swarm AI frameworks and tools;
d) AI-based recourse management initiatives for NG-IoT applications;
e) Unbiased AI system initiatives;
f) Accelerated Deep Learning for Cognitive Edge Computing;
g) Federated Learning Initiatives and Frameworks for trust-preservation in NG-IoT applications;
h) NG-IoT privacy and security frameworks;
i) Decentralised Smart Contracts through Blockchain Technology;
j) AI-powered Intrusion Detection and Prevention (IDPS) systems;
k) Network orchestration and latency-aware dynamic resource allocation in NG-IoT;
l) Next Generation Software Defined Networking (NG-SDN);
m) Quality-of-service (QoS), and quality-of-experience (QoE) optimisation in NG-IoT;
n) Human-IoT Interfaces trends and future directions;
o) Virtualised Multiaccess Edge Computing (vMEC) Frameworks;
p) Far and Near Edge trends and future directions;
q) Industry 5.0 and Edge Swarm;
r) Digital twins in MetaOS;
s) Enabling the Tactile Internet with IoT;
t) Energy-efficiency applications in NG-IoT;
u) Use of Tactile Internet and Augmented Reality in the Construction Industry;
Keywords:MetaOS, Next Generation IoT, Recourse Management, Federated Learning, Edge Computing, Edge AI, Digital twins, Security, Privacy
Editors
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Panagiotis Sarigiannidis
Professor Panagiotis Sarigiannidis, University of Western Macedonia, Greece He is the Director of the ITHACA lab, co-founder of the 1st spin-off of the University of Western Macedonia: MetaMind Innovations P.C., and Associate Professor in the Department of Electrical and Computer Engineering in University of Western Macedonia, Kozani, Greece. He received the B.Sc. and Ph.D. degrees in computer science from Aristotle University of Thessaloniki, Thessaloniki, Greece. He has been involved in several national, European and international projects. His research interests are telecommunication networks, internet of thing and network security.
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Thomas Lagkas
Assistant Professor Thomas Lagkas, International Hellenic University, Greece Dr. Thomas Lagkas is Assistant Professor of the Department of Computer Science of the International Hellenic University. He has been Lecturer and then Senior Lecturer of The University of Sheffield International Faculty - CITY College, from 2012 to 2019. He also served as Research Director of the Computer Science Department of CITY College and Leader of the ICT Track of the South-East European Research Centre. His research interests are in the broad area of IoT communications. He also participates in the implementation of EU projects.
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Vasileios Argyriou
Professor Vasileios Argyriou, Kingston University, UK He received his BSc degree in computer science from Aristotle University of Thessaloniki, Greece, in 2001 and his MSc and PhD degrees from the University of Surrey, in 2003 and 2006, respectively, both in electrical engineering working on registration. He joined the Communications and Signal Processing Department, Imperial College, London, in 2007, where he worked on 3D object reconstruction. Now, he is a Professor at Kingston University, working on computer vision and AI for crowd and human behavior analysis, computer games, entertainment, and medical applications.
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Panagiotis Radoglou-Grammatikis
Dr Panagiotis Radoglou-Grammatikis, University of Western Macedonia, Greece He is a postdoctoral researcher, and received his PhD from the University of Western Macedonia in 2023. His main research interests are in the area of cybersecurity and mainly focus on cyber-AI, intrusion detection and security games. He has published more than 30 research papers in international scientific journals, conferences and book chapters. Recently, he was included in Stanford University’s list of the Top 2% of Scientists in the World for 2022. He is also working as an R&D director at K3Y Ltd, in various R&D projects.
