Intelligent Internet of Things Networks

This book provides an overview of the Internet of Things Network and Machine Learning and introduces Internet of Things architecture. It designs a new intelligent IoT network architecture and introduces different machine learning approaches to investigate solutions. It discusses how machine learning can help network awareness and achieve network intelligent control. It also dicusses the emerging network techniques that can enable the development of intelligent IoT networks.
This book applies several intelligent approaches for efficient resource scheduling in networks. It discusses Mobile Edge Computing aided intelligent IoT and focuses mainly on the resource sharing and edge computation offloading problems in mobile edge networks. The blockchain-based IoT (which allows fairly and securely renting resources and establishing contracts) is discussed as well.
The Internet of Things refers to the billions of physical devices that are now connected to and transfer data through the Internet without requiring human-to-human or human-to-computer interaction. According to Gartner's prediction, there will be more than 37 billion IoT connections in the future year of 2025. However, with large-scale IoT deployments, IoT networks are facing challenges in the aspects of scalability, privacy, and security. The ever-increasing complexity of the IoT makes effective monitoring, overall control, optimization, and auditing of the network difficult. Recently, artificial intelligence (AI) and machine learning (ML) approaches have emerged as a viable solution to address this challenge. Machine learning can automatically learn and optimize strategy directly from experience without following pre-defined rules. Therefore, it is promising to apply machine learning in IoT network control and management to leverage powerful machine learning adaptive abilities for higher network performance.
This book targets researchers working in the Internet of Things networks as well as graduate students and undergraduate students focused on this field. Industry managers, and government research agencies in the fields of the IoT networks will also want to purchase this book.

本書提供了物聯網網絡和機器學習的概述，並介紹了物聯網架構。它設計了一種新的智能物聯網網絡架構，並介紹了不同的機器學習方法來研究解決方案。它討論了機器學習如何幫助網絡意識和實現網絡智能控制。它還討論了能夠實現智能物聯網網絡發展的新興網絡技術。

本書應用了多種智能方法來實現網絡中的有效資源調度。它討論了移動邊緣計算輔助的智能物聯網，主要關注移動邊緣網絡中的資源共享和邊緣計算卸載問題。同時也討論了基於區塊鏈的物聯網（允許公平安全地租用資源和建立合約）。

物聯網指的是現在連接到互聯網並通過互聯網傳輸數據的數十億個物理設備，而不需要人對人或人對計算機的互動。根據Gartner的預測，到2025年，物聯網連接數量將超過370億個。然而，隨著大規模的物聯網部署，物聯網網絡在可擴展性、隱私和安全性方面面臨挑戰。物聯網的不斷增加的複雜性使得對網絡的有效監控、整體控制、優化和審計變得困難。最近，人工智能（AI）和機器學習（ML）方法已經成為應對這一挑戰的可行解決方案。機器學習可以從經驗中自動學習和優化策略，而不需要遵循預定義的規則。因此，在物聯網網絡控制和管理中應用機器學習具有潛力，可以利用強大的機器學習適應能力提高網絡性能。

本書的目標讀者包括從事物聯網網絡研究的研究人員，以及專注於該領域的研究生和本科生。同時，業界經理和政府研究機構在物聯網網絡領域也會有興趣購買本書。

Haipeng Yao (Senior Member, IEEE) received the Ph.D. degree with the Department of Telecommunication Engineering, University of Beijing University of Posts and Telecommunications, Beijing, China, in 2011. He is currently a Professor with the Beijing University of Posts and Telecommunications. He has authored or coauthored more than 150 papers in prestigious peer-reviewed journals and conferences. His research interests include future network architecture, network artificial intelligence, networking, space-terrestrial integrated network, network resource allocation, and dedicated networks. Dr. Yao served as the Associate Editor of IEEE Transactions on Sustainable Computing, IEEE Access, and the Guest Editor of IEEE Open Journal of the Computer Society and Springer Journal of Network and Systems Management. He has won several research awards including the 2022 IEEE ICC Best Paper Award, 2021 IEEE IWCMC Best Paper Award, 2020 IEEE ICCC Best Paper Award. He was the Member of the Technical Program Committee and the Symposium Chair for a number of international conferences, including IWCMC 2019 Symposium Chair, and ACM TUR-C SIGSAC2020 Publication Chair.
Mohsen Guizani (Fellow, IEEE) received his BS (with distinction), MS, and Ph.D. degrees in electrical and computer engineering from Syracuse University, NY. He is currently a professor and an associate provost at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE. Previously, he worked in different institutions in the United States. His research interests include applied machine learning and artificial intelligence, the Internet of Things, intelligent systems, smart city, and cybersecurity. He was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2019, 2020, and 2021. He has won several research awards including the 2015 IEEE Communications Society Best Survey Paper Award as well as four Best Paper Awards from IEEE ICC and GLOBECOM. He is the author of 10 books and more than 800 publications. He is also the recipient of the 2017 IEEE Communications Society Wireless Technical Committee (WTC) Recognition Award, the 2018 Ad Hoc Technical Committee Recognition Award, and the 2019 IEEE Communications and Information Security Technical Recognition (CISTC) Award. He served as the Editor-in-Chief of IEEE Network and is currently serving on the Editorial Boards of many IEEE transactions and magazines. He was the Chair of the IEEE Communications Society Wireless Technical Committee and the Chair of the TAOS Technical Committee. He served as an IEEE Computer Society Distinguished Speaker and is currently an IEEE ComSoc Distinguished Lecturer.

饒海鵬（高級會員，IEEE）於2011年在中國北京郵電大學電信工程系獲得博士學位。他目前是北京郵電大學的教授。他在知名的同行評審期刊和會議上發表或合著了150多篇論文。他的研究興趣包括未來網絡架構、網絡人工智能、網絡、空地一體化網絡、網絡資源分配和專用網絡。饒博士曾擔任IEEE可持續計算交易、IEEE Access的副編輯，並擔任IEEE計算機學會開放期刊和Springer網絡與系統管理期刊的客座編輯。他獲得了多個研究獎項，包括2022年IEEE ICC最佳論文獎、2021年IEEE IWCMC最佳論文獎、2020年IEEE ICCC最佳論文獎。他曾擔任多個國際會議的技術程序委員會成員和研討會主席，包括2019年IWCMC研討會主席和ACM TUR-C SIGSAC2020出版主席。

Mohsen Guizani（高級會員，IEEE）在紐約州的電機與計算機工程學院獲得學士、碩士和博士學位。他目前是阿布達比穆罕默德·賓·賽義德人工智能大學（MBZUAI）的教授和副校長。他曾在美國的不同機構工作。他的研究興趣包括應用機器學習和人工智能、物聯網、智能系統、智慧城市和網絡安全。他在2019年、2020年和2021年被Clarivate Analytics評為計算機科學領域的高被引研究者。他獲得了多個研究獎項，包括2015年IEEE通信學會最佳綜述論文獎以及四個IEEE ICC和GLOBECOM的最佳論文獎。他是10本書的作者，並發表了800多篇論文。他還獲得了2017年IEEE通信學會無線技術委員會（WTC）表彰獎、2018年臨時技術委員會表彰獎和2019年IEEE通信和信息安全技術表彰（CISTC）獎。他曾擔任IEEE Network的主編，目前擔任多個IEEE交易和雜誌的編輯委員會成員。他曾擔任IEEE通信學會無線技術委員會主席和TAOS技術委員會主席。他曾擔任IEEE計算機學會傑出演講者，目前是IEEE ComSoc傑出講者。