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Wireless Networks

The Journal of Mobile Communication, Computation and Information

Publishing model:
Hybrid

Wireless Networks - AI in UAV-Assisted 6G Networks and Mobile Robots for Industry 5.0

Industry 5.0 which is emerging focuses on human-robot collaboration, emphasizing the integration of advanced technologies with individuals and workers to create more intelligent, flexible, and adaptive production systems for developing a sustainable, human-centric, and resilient industry. As industry 5.0 evolves, it will be influenced by various factors, including innovations, economic trends, regulatory developments, and societal demands. While unmanned aerial vehicles (UAVs) or drones with next-generation mobile communication technology, 6G and mobile robots represent a powerful combination that holds the potential to revolutionize various industries with a wide range of applications and communication capabilities by providing enhanced coverage, opening up new possibilities for efficient data collection, advanced automation, improved connectivity, and new services. By combining UAVs, 6G networks, and mobile robots, several applications can be envisioned to revolutionize various industries and drive the vision of industry 5.0 forward. Furthermore, artificial intelligence (AI) technology has found applications in multiple industries, including healthcare, finance, transportation, entertainment, education, and cybersecurity. It continues to advance rapidly, driven by improvements in hardware capabilities, large datasets, and algorithmic innovation. Thus, AI technologies support interconnected ecosystem better by enabling intelligent decision-making, coordination, and automation, making it possible to harness the full potential.

However, as AI becomes more sophisticated, ethical and societal considerations become increasingly important. Issues such as privacy, bias, transparency, accountability, and the impact on the workforce require careful attention and responsibility in the development of AI technologies. The goal is to harness the potential of AI for the benefit of humanity while ensuring that its deployment is aligned with ethical principles and values. 6G technology is still in the early research and development stages, and its integration with UAVs for critical industrial applications is an area of significant interest and exploration. On the other hand, mobile robots too face several challenges that need to be addressed for their successful deployment and widespread adoption across various industries. By leveraging the power of evolving AI, the integration of UAVs, 6G networks, and mobile robots can create a truly intelligent and interconnected industry 5.0 ecosystem. This convergence has the potential to drive innovation, efficiency, and safety across various industries, paving the way for a more advanced and human-centric industrial landscape.

This special section outlines the wider importance of AI for developing ground-breaking advancements in industry 4.0 with the interconnected ecosystem like UAV, 6G, and mobile robots. Novel computing technologies, AI applications, algorithms and new technologies are welcome in this special issue.

Topics:

  • AI algorithms in UAV-based 6G wireless communication networks in improving situational awareness for industry 5.0
  • Human-AI interaction and trust in autonomous system for optimized industry 5.0 applications
  • AI-enabled UAV with secured 6G and mobile robots for mitigating uncertainties and risk in the industry 5.0
  • AI in a smart interconnected system for industry 5.0: challenges, opportunities, future directions, and applications
  • Current AI research trends with integrated UAV, 6G, and mobile robots in industry 5.0 for space applications
  • AI in massive MIMO-UAV-assisted 6G communications for smart industry 5.0 applications
  • AI in multi-UAVs and reconfigurable intelligent surface (RIS)-based 6G networks and mobile robots for industry 5.0
  • AI-based real-time multimedia applications with secure 5G/6G UAV networks for industry 5.0
  • AI-enabled blockchain in UAV and mobile robots for secure computing infrastructure in the industry 5.0
  • Novel AI-based physical layer authentication algorithms and mobile robotic applications for advanced industry 5.0

Guest Editor Team:Name: Dr. Pei XiaoInstitutional e-mail: p.xiao@ieee.org (this opens in a new tab); p.xiao@surrey.ac.ukAffiliation: University of Surrey, United KingdomLink: https://www.surrey.ac.uk/people/pei-xiaoName: Professor Andrey V. SavkinInstitutional e-mail: a.savkin@unsw.edu.auAffiliation: The University of New South Wales, AustraliaLink: https://research.unsw.edu.au/people/professor-andrey-savkineName: Dr. Abderrezak RachediInstitutional e-mail: rachedi@ieee.org (this opens in a new tab); abderrezak.rachedi@univ-eiffel.frAffiliation: University Gustave Eiffel, FranceLink: http://igm.univ-mlv.fr/~rachedi/Name: Dr. Abdellah Chehri   Institutional e-mail: abdellah.chehri@rmc-cmr.ca (this opens in a new tab); achehri@gmail.comAffiliation: Royal Military College of Canada, CanadaLink: https://www.chehri.com/ (this opens in a new tab)Important Dates:Last Date for Paper Submission: 30-July-2024Initial Decision: 30-September-2024Revised Submission: 30-November-2024Final Decision: 30-January-2025Short Bio:Dr. Pei Xiao Pei Xiao is a Professor in Wireless Communications at ICS, home of 5GIC. He received the B. Eng, MSc and PhD degree from Huazhong University of Science & Technology, Tampere University of Technology, Chalmers University of Technology, respectively. Prior to joining Surrey in 2011, he worked at Newcastle University and Queen's University Belfast and had held positions at Nokia Network in Finland. He is the technical manager of 5GIC, leading and coordinating research activities and overseeing major projects in 5GIC. His main research interests and expertise span a wide range of areas in communications theory and signal processing for wireless communications.Prof. Andrey V. Savkin Andrey V. Savkin was born in Norilsk, USSR, in 1965. He received the M.S. and Ph.D. degrees in mathematics from Leningrad State University, Saint Petersburg, Russia, in 1987 and 1991, respectively. During 1987–1992, he was with the All-Union Television Research Institute as an Engineer and as a Senior Research Scientist. During 1992–1994, he was a Postdoctoral Research Fellow with the Department of Electrical Engineering, Australian Defence Force Academy, UNSW, Canberra, ACT, Australia. During 1992–1994, he was a Research Fellow with the Department of Electrical Engineering, University of Melbourne, Melbourne, VIC, Australia. During 1996–2000, he was a Senior Lecturer and then an Associate Professor with the Department of Electrical and Electronic Engineering, University of Western Australia, Perth, WA, Australia. Since 2000, he has been a Professor with the School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia. Prof. Savkin was an associate editor/editor for numerous international journals in the field. He has authored or coauthored nine research monograph and numerous journal papers in his research field, which include control engineering, robotics, UAV navigation, power systems, wireless sensor networks, and biomedical engineering.Dr. Abderrezak RachediAbderrezak RACHEDI is currently working as full professor (Professeur des Universités) at the University Gustave Eiffel (UGE) and a member of the Gaspard Monge Computer Science laboratory (LIGM CNRS UMR 8049) since September 2018. He was associate professor (maître de conférences HDR) and assistant professor (maître de conférences) at University Paris-Est Marne-la-Vallée (UPEM) between Sep. 2008 and 2018. He received his Habilitation to Direct Researsh (HDR: habilitation à diriger dess recherches) from Paris-Est University in Dec. 2015, and his PhD degree in computer science from the university of Avignon in France in 2008. His research interests lie in the field of networking, wireless networking, wireless multi-hop networks, wireless sensor networks (WSNs) and Internet of Things (IoT), Vehicular ad hoc networks (VANETs) and Internet of Vehicles (IoV), distributed algorithms, quality of services (QoS) with security, Trust models design and Blockchain, Network performance analysis and evaluation. Dr. Rachedi advised multiple Ph.D. and Master's students at Paris-Est University. So far, his research efforts have culminated in more than one hundred refereed journal, conference and book publications in a wide variety of prestigious international conferences and journals including the IEEE Transactions on Vehicular Technology (IEEE TVT), Elsevier Ad hoc networks, IEEE ICC, and IEEE GLOBECOM. He participated or still participates to several national and international research projects. He is currently serving on the editorial board for IEEE Internet of Things Journal (IoT), IEEE JSAC: Series On Network Softwarization & Enablers, IEEE ACCESS journal, John Wiley's Wireless Communications and Mobile Computing Journal, John Wiley's International Journal of Communication Systems. He is a senior member of the IEEE and has served as Technical Program Committee member and reviewer of many international conferences and journals.Dr. Abdellah ChehriAbdellah Chehri received the master’s degree from University Nice-Sophia Antipolis-Eurecom, France, and the Ph.D. degree from Laval University, Quebec. He is currently an Associate Professor with the Department of Mathematics and Computer Science, Royal Military College of Canada (RMC), Kingston, ON, Canada. He is the coauthor of more than 200 peer-reviewed publications in established journals and conference proceedings sponsored by established publishers, such as IEEE, ACM, Elsevier, and Springer. He is a member of the IEEE Communication Society, the IEEE Vehicular Technology Society (VTS), and the IEEE Photonics Society. He has served for roughly 30 conference and workshop program committees. He served as a guest editor/associate editor for several well-reputed journals.

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