6g Enabled Fog Computing in Iot: Applications and Opportunities

Kumar, Mohit, Gill, Sukhpal Singh, Samriya, Jitendra Kumar

6g Enabled Fog Computing in Iot: Applications and Opportunities
  • 出版商: Springer
  • 出版日期: 2024-10-03
  • 售價: $6,360
  • 貴賓價: 9.5 折 $6,042
  • 語言: 英文
  • 頁數: 412
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 303130103X
  • ISBN-13: 9783031301032
  • 相關分類: Edge computing、物聯網 IoT

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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 editedbook 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.

商品描述(中文翻譯)

在過去幾年中，隨著人們對持續上網需求的增加，數據流量的需求經歷了爆炸性的增長。新的通信應用，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數據流量，且其性能需求各異。隨著COVID-19疫情的影響，持續上網的需求變得更加迫切，因為大多數領域，包括工業、教育、經濟或服務業，都必須盡可能地上網。由於預計數據流量將持續對未來通信網絡的容量造成壓力，這些網絡需要不斷演進，以跟上數據流量的增長。因此，未來的通信網絡將需要更智能的處理、運作和優化。第六代（6G）技術是針對移動系統或邊緣設備的最新方法，旨在減少流量擁堵和能源消耗，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，例如啟用霧計算的物聯網網絡、智能技術的SDN網絡、6G支持的醫療行業、能源感知的定位管理。然而，這項技術仍需解決一些挑戰，如安全性和物聯網支持的信任網絡。

本書將專注於使用基於AI/ML的技術來解決與6G支持的網絡、其層次以及應用相關的問題。這將是一系列關於最先進的AI/ML解決方案的原創貢獻，涵蓋信號檢測、通道建模、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、安全性和異常檢測等主題。所提議的編輯書籍強調將6G網絡與霧物聯網網絡相結合，以介紹其應用和未來展望，幫助研究人員在其領域中應用這項技術，並有助於解決6G網絡的挑戰和未來機會。

作者簡介

​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 venuessuch 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.

作者簡介(中文翻譯)

Mohit Kumar 是印度賈蘭達爾的 Dr. B R Ambedkar 國立技術學院資訊科技系的助理教授。他於 2018 年在印度理工學院魯爾基獲得雲端計算領域的博士學位，並於 2013 年在印度 ABV-印度資訊科技學院獲得計算機科學與工程的碩士學位。他於 2009 年在 MJP Rohilkhand 大學獲得計算機科學與工程的學士學位。他的研究主題涵蓋雲端計算、霧計算、邊緣計算、物聯網和軟計算等領域。他在知名期刊和國際會議上發表了超過 20 篇研究文章。他曾擔任多個國際會議、網路研討會、FDP 和 STC 的會議主席和主題演講者。他指導過兩篇碩士論文，並指導過一位博士生。他是多個知名期刊和國際會議的活躍審稿人，也是 IEEE 的成員。

Sukhpal Singh Gill 是英國倫敦女王瑪莉大學電子工程與計算機科學學院的雲端計算講師（助理教授）。在目前的職位之前，Gill 博士曾擔任英國蘭卡斯特大學計算與通信學院的研究助理，以及澳大利亞墨爾本大學 CLOUDS 實驗室的博士後研究員。Gill 博士目前擔任 Wiley ETT 和 IET Networks Journal 的副編輯。他共同撰寫了超過 70 篇同行評審的論文（H-index 超過 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過文章。他獲得了多個獎項，包括 2018 年 SPE（Wiley）傑出審稿人獎、2021 年 ACSW 的 AusPDC 最佳論文獎，並曾擔任 PerCom、UCC、CCGRID、CLOUDS、ICFEC 和 AusPDC 等會議的程序委員會成員。他的研究興趣包括雲端計算、霧計算、軟體工程、物聯網和能源效率。

Jitendra Kumar Samriya 在 Dr. B.R. Ambedkar 國立技術學院資訊科技系任教。他在 BBA 大學（中央大學）完成了碩士和博士學位，專攻雲端計算、人工智慧和多目標進化優化技術。他在知名期刊和會議上發表了 15 篇研究文章，並獲得了五項印度和國際專利。他也是 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的博士學位。從 2004 年到 2006 年，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 IBM 比利時/F.N.R.S. 計算機科學獎。2004 年至 2006 年期間，他曾在英國劍橋的英特爾研究所和澳大利亞阿德萊德大學應用數學系擔任訪問科學家。2006 年至 2008 年，他在荷蘭代爾夫特科技大學工作。在加入倫敦女王瑪莉大學之前，他是德國柏林技術大學/德國電信實驗室的高級研究科學家。自 2012 年 1 月以來，他一直擔任倫敦女王瑪莉大學的網路教授及網路研究小組負責人。2012 年至 2016 年期間，他是中國科學院計算技術研究所的客座教授。擁有網路監控、大規模網路測量與分析及網路工程的專業知識，他在職業生涯中發表了超過 100 篇同行評審的期刊文章，並獲得了超過 300 萬英鎊的研究經費。他目前是 ACM SIGCOMM 的主編。

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