6g Enabled Fog Computing in Iot: Applications and Opportunities

Over the past few years, the demand for data traffic has experienced explosive growth thanks to the increasing need to stay online. New applications of communications, such as wearable devices, autonomous systems, drones, and the Internet of Things (IoT), continue to emerge and generate even more data traffic with vastly different performance requirements. With the COVID-19 pandemic, the need to stay online has become even more crucial, as most of the fields, would they be industrial, educational, economic, or service-oriented, had to go online as best as they can. As the data traffic is expected to continuously strain the capacity of future communication networks, these networks need to evolve consistently in order to keep up with the growth of data traffic. Thus, more intelligent processing, operation, and optimization will be needed for tomorrow's communication networks. The Sixth Generation (6G) technology is latest approach for mobile systems or edge devices in terms of reduce traffic congestions, energy consumption blending with IoT devices applications. The 6G network works beyond the 5G (B5G), where we can use various platforms as an application e.g. fog computing enabled IoT networks, Intelligent techniques for SDN network, 6G enabled healthcare industry, energy aware location management. Still this technology must resolve few challenges like security, IoT enabled trust network.
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.

在過去幾年中，由於人們越來越需要保持在線，數據流量的需求經歷了爆炸性增長。通信的新應用，如可穿戴設備、自主系統、無人機和物聯網（IoT），不斷出現並產生更多具有截然不同性能要求的數據流量。隨著COVID-19疫情的爆發，保持在線的需求變得更加重要，因為大多數領域，無論是工業、教育、經濟還是服務導向，都必須盡力上線。由於數據流量預計將持續對未來通信網絡的容量造成壓力，這些網絡需要不斷發展以跟上數據流量的增長。因此，明天的通信網絡將需要更多智能處理、操作和優化。第六代（6G）技術是移動系統或邊緣設備的最新方法，可以減少流量擁塞、節能並與物聯網設備應用相結合。6G網絡超越了5G（B5G），我們可以使用各種平台作為應用，例如支持雲霧計算的物聯網網絡、用於SDN網絡的智能技術、6G支持的醫療行業、節能的位置管理。然而，這項技術必須解決一些挑戰，如安全性、物聯網設備的信任網絡。本書將重點介紹使用基於人工智能/機器學習的技術來解決與6G網絡、其層次以及應用相關的問題。它將是一本關於最先進的基於人工智能/機器學習解決方案的原創貢獻的集合，用於信號檢測、信道建模、資源優化、路由協議設計、傳輸層優化、用戶/應用行為預測、6G支持的軟件定義網絡、擁塞控制、通信網絡優化、安全性和異常檢測。本書的提出強調了6G網絡與雲霧物聯網網絡相結合，介紹了其應用和未來展望，有助於研究人員在其領域應用這一技術，並可能有助於解決6G網絡的挑戰和未來機遇。

​Mohit Kumar is Assistant Professor in the Department of Information Technology at Dr. B R Ambedkar National Institute of Technology, Jalandhar, India. He received his Ph.D. degree from Indian Institute of Technology Roorkee in the field of Cloud Computing, 2018, and M.Tech degree in Computer Science and Engineering from ABV-Indian Institute of Information Technology Gwalior, India in 2013. He has received his B.Tech degree in Computer Science and Engineering from MJP Rohilkhand University Bareilly, 2009. His research topics cover the areas of Cloud computing, Fog computing, Edge Computing, Internet of Things, Soft Computing. He has published more than 20 research articles in reputed journals and international conferences. He has been Session chair and keynotes Speaker of many International conferences, webinars, FDP, STC in India. He has guided two M.Tech Thesis and guided 1 Ph.D. Scholar. He is an active reviewer of several reputed journals and international conferences. He is a member of the IEEE.
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.

Mohit Kumar是印度賈蘭達爾Dr. B R Ambedkar國家理工學院資訊技術系的助理教授。他於2018年在印度羅爾基爾工學院獲得雲計算領域的博士學位，並於2013年在印度ABV-印度資訊技術學院獲得計算機科學和工程的碩士學位。他於2009年在MJP Rohilkhand大學獲得計算機科學和工程的學士學位。他的研究範圍涵蓋雲計算、霧計算、邊緣計算、物聯網和軟計算。他在知名期刊和國際會議上發表了20多篇研究論文。他曾擔任多個國際會議、網絡研討會、教師培訓和學生培訓的會議主席和主題演講嘉賓。他指導了兩個碩士論文和一個博士研究生。他是多個知名期刊和國際會議的活躍評審人。他是IEEE的成員。

Sukhpal Singh Gill是英國倫敦女王瑪麗大學電子工程和計算機科學學院的雲計算講師（助理教授）。在現任職位之前，Gill博士曾在英國蘭卡斯特大學計算和通信學院擔任研究助理，並在澳大利亞墨爾本大學CLOUDS實驗室擔任博士後研究員。Gill博士是Wiley ETT和IET Networks Journal的副編輯。他共同撰寫了70多篇同行評審的論文（H指數為30+），並在IEEE TCC、IEEE TSC、IEEE TII、IEEE TNSM、IEEE IoT Journal、Elsevier JSS/FGCS、IEEE/ACM UCC和IEEE CCGRID等知名國際期刊和會議上發表。他獲得了多個獎項，包括2018年SPE（Wiley）傑出評審獎、ACS W 2021的Best Paper Award AusPDC，並且還擔任過PerCom、UCC、CCGRID、CLOUDS、ICFEC和AusPDC等場合的PC成員。他的研究興趣包括雲計算、霧計算、軟件工程、物聯網和能源效率。

Jitendra Kumar Samriya在印度賈蘭達爾Dr. B.R. Ambedkar國家理工學院資訊技術系擔任教職。他在BBA大學（中央大學）Lucknow完成了碩士和博士學位。他的研究興趣包括雲計算、人工智能和多目標演化優化技術。他在知名期刊、會議上發表了15篇研究論文，並發表了五項印度和國際專利。他還是IEEE和SCRS的成員。

Steve Uhlig於2004年在比利時魯汶大學獲得應用科學博士學位。2004年至2006年期間，他是比利時國家科學研究基金會（F.N.R.S.）的博士後研究員。他的論文獲得了2005年度IBM比利時/F.N.R.S.計算機科學獎。2004年至2006年期間，他曾在英特爾劍橋研究中心（英國）和阿德萊德大學應用數學系（澳大利亞）擔任訪問科學家。2006年至2008年期間，他在荷蘭代爾夫特理工大學任職。在加入倫敦女王瑪麗大學之前，他曾在柏林工業大學/德國電信實驗室擔任高級研究科學家。自2012年1月以來，他一直是倫敦女王瑪麗大學網絡研究組的網絡教授和組長。2012年至2016年期間，他曾擔任中國科學院計算技術研究所的客座教授。在網絡監測、大規模網絡測量和分析以及網絡工程方面具有專業知識，他在職業生涯中發表了100多篇同行評審的期刊文章，並獲得了超過300萬英鎊的資助。他目前是ACM SIGCOMM C的主編。