Overview
The proposed book emphasis on the 6G network blended with Fog-IoT networks to introduce its applications and future perspectives that helps the researcher to apply this technique in their domain and it may also helpful to resolve the challenges and future opportunities with 6G networks
Blockchain technology with Fog-IoT network, SDN network and cloud computing acts as a new feature will be added in this book
To presents in-depth discussions in emerging interdisciplinary themes and applications reflecting the advancements in 6G enabled IoT and its usage in computing paradigm like Fog, Edge etc
To provide a platform to figure out the significant impact of these technologies in science, society, academic, research and industry
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Table of contents (16 chapters)
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Front Matter
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Applications
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Front Matter
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Architecture, Systems and Services
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Front Matter
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Further Reading
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Front Matter
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Keywords
About this book
This book will focus on the use of AI/ML-based techniques to solve issues related to 6G enabled networks, their layers, as well as their applications. It will be a collection of original contributions regarding state-of-the-art AI/ML-based solutions for signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction 6G enabled software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The proposed edited book emphasis on the 6G network blended with Fog-IoT networks to introduce its applications and future perspectives that helps the researcher to apply this technique in their domain and it may also helpful to resolve the challenges and future opportunities with 6G networks.
Editors and Affiliations
About the editors
Sukhpal Singh Gill is a Lecturer (Assistant Professor) in Cloud Computing at the School of Electronic Engineering and Computer Science, Queen Mary University of London, UK. Prior to his present stint, Dr. Gill has held positions as a Research Associate at the School of Computing and Communications, Lancaster University, UK and also as a Postdoctoral Research Fellow at CLOUDS Laboratory, The University of Melbourne, Australia. Dr. Gill is serving as an Associate Editor in Wiley ETT and IET Networks Journal. He has co-authored 70+ peer-reviewed papers (with H-index 30+) and has published in prominent international journals and conferences such as IEEE TCC, IEEE TSC, IEEE TII, IEEE TNSM, IEEE IoT Journal, Elsevier JSS/FGCS, IEEE/ACM UCC and IEEE CCGRID. He has received several awards, including the Distinguished Reviewer Award from SPE (Wiley), 2018, Best Paper Award AusPDC at ACSW 2021 and has also served as the PC member for venues such as PerCom, UCC, CCGRID, CLOUDS, ICFEC, AusPDC. His research interests include Cloud Computing, Fog Computing, Software Engineering, Internet of Things and Energy Efficiency.
Jitendra Kumar Samriya is working as a Faculty in the Department of Information Technology, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar. He has completed his Master of Technology and Ph.D. from BBA University (A Central University), Lucknow. His research interest is Cloud computing, Artificial Intelligence and Multi-objective Evolutionary optimization Techniques. He has published 15 research articles in reputed Journals, Conferences and Published five Indian and International patents. He is also a member of IEEE, SCRS.
Steve Uhlig obtained a Ph.D. degree in Applied Sciences from the University of Louvain, Belgium, in 2004. From 2004 to 2006, he was a Postdoctoral Fellow of the Belgian National Fund for Scientific Research (F.N.R.S.). His thesis won the annual IBM Belgium/F.N.R.S. Computer Science Prize 2005. Between 2004 and 2006, he was a visiting scientist at Intel Research Cambridge, UK, and at the Applied Mathematics Department of University of Adelaide, Australia. Between 2006 and 2008, he was with Delft University of Technology, the Netherlands. Prior to joining Queen Mary University of London, he was a Senior Research Scientist with Technische Universität Berlin/Deutsche Telekom Laboratories, Berlin, Germany. Since January 2012, he has been the Professor of Networks and Head of the Networks Research group at Queen Mary, University of London. Between 2012 and 2016, he was a guest professor at the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. With expertise in network monitoring, large-scale network measurements and analysis, and network engineering, during his career he has been published in over 100 peer-reviewed journals, and awarded over £3million in grant funding. He is currently the Editor in Chief of ACM SIGCOMM Computer Communication Review, the newsletter of the ACM SIGCOMM SIG on data communications. Since December 2020, Steve has also held the position of Head of School of Electronic Engineering and Computer Science. Current Research interests: Internet measurements, software-defined networking, content delivery.
Bibliographic Information
Book Title: 6G Enabled Fog Computing in IoT
Book Subtitle: Applications and Opportunities
Editors: Mohit Kumar, Sukhpal Singh Gill, Jitendra Kumar Samriya, Steve Uhlig
DOI: https://doi.org/10.1007/978-3-031-30101-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-30100-1Published: 02 October 2023
Softcover ISBN: 978-3-031-30103-2Due: 16 October 2024
eBook ISBN: 978-3-031-30101-8Published: 01 October 2023
Edition Number: 1
Number of Pages: XVII, 412
Number of Illustrations: 1 b/w illustrations
Topics: Computer Communication Networks, Computer Applications, Wireless and Mobile Communication