Robustness Optimization for Iot Topology

Qiu, Tie, Chen, Ning, Zhang, Songwei

  • 出版商: Springer
  • 出版日期: 2023-06-12
  • 售價: $6,660
  • 貴賓價: 9.5$6,327
  • 語言: 英文
  • 頁數: 214
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 981169611X
  • ISBN-13: 9789811696114
  • 相關分類: 物聯網 IoT
  • 海外代購書籍(需單獨結帳)

商品描述

The IoT topology defines the way various components communicate with each other within a network. Topologies can vary greatly in terms of security, power consumption, cost, and complexity. Optimizing the IoT topology for different applications and requirements can help to boost the network's performance and save costs. More importantly, optimizing the topology robustness can ensure security and prevent network failure at the foundation level. In this context, this book examines the optimization schemes for topology robustness in the IoT, helping readers to construct a robustness optimization framework, from self-organizing to intelligent networking.

The book provides the relevant theoretical framework and the latest empirical research on robustness optimization of IoT topology. Starting with the self-organization of networks, it gradually moves to genetic evolution. It also discusses the application of neural networks and reinforcement learning to endow the node with self-learning ability to allow intelligent networking.

This book is intended for students, practitioners, industry professionals, and researchers who are eager to comprehend the vulnerabilities of IoT topology. It helps them to master the research framework for IoT topology robustness optimization and to build more efficient and reliable IoT topologies in their industry.


商品描述(中文翻譯)

物聯網拓撲結構定義了網絡內各個組件之間的通信方式。拓撲結構在安全性、功耗、成本和複雜性方面可能有很大的差異。優化物聯網拓撲結構以滿足不同應用和需求可以提升網絡性能並節省成本。更重要的是,優化拓撲結構的韌性可以確保安全性並防止網絡故障。在這個背景下,本書探討了物聯網拓撲結構韌性的優化方案,幫助讀者構建從自組織到智能網絡的韌性優化框架。

本書提供了有關物聯網拓撲結構韌性優化的相關理論框架和最新實證研究。從網絡的自組織開始,逐漸轉向基因演化。它還討論了神經網絡和強化學習在賦予節點自學習能力方面的應用,以實現智能網絡。

本書面向希望了解物聯網拓撲結構漏洞的學生、從業人員、行業專業人士和研究人員。它幫助他們掌握物聯網拓撲結構韌性優化的研究框架,並在其行業中建立更高效可靠的物聯網拓撲結構。

作者簡介

Dr. Tie Qiu is currently a full professor in the School of Computer Science and Technology at Tianjin University, China. Prior to this, he was an assistant professor and associate professor in the School of Software at Dalian University of Technology. He was a visiting professor in the Department of Electrical and Computer Engineering at Iowa State University in the USA (2014-2015). He serves as an associate editor of IEEE Transactions on Network Science and Engineering (TNSE) and IEEE Transactions on Systems, Man, and Cybernetics: Systems; area editor of Ad Hoc Networks (Elsevier); associate editor of Computers and Electrical Engineering (Elsevier) and Human-centric Computing and Information Sciences (Springer); and guest editor of Future Generation Computer Systems. He serves as general chair, program chair, workshop chair, publicity chair, publication chair, and TPC member of a number of international conferences. He has authored/co-authored 9 books and over 150 scientific papers in international journals and conference proceedings, such as IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Industrial Informatics, IEEE Communications Surveys & Tutorials, IEEE Communications, INFOCOM, and GLOBECOM. His 10 papers are listed as ESI highly cited papers. He has contributed to the development of 4 copyrighted software systems and holds 16 patents. He is a distinguished member of the China Computer Federation (CCF) and a senior member of IEEE and ACM.

Ning Chen is a PhD candidate at Tianjin University. His research focuses on the Internet of Things, including robustness optimization, wireless sensor networks, artificial intelligence, big data analysis, smart city, and Internet of Vehicles. He has published more than 10 papers in leading journals, including two ESI highly cited papers.

Mr. Songwei Zhang is currently a technical engineer at Tianjin University. He has extensive experience in the robustness optimization of Internet of Things topology.


作者簡介(中文翻譯)

鈕秋博士目前是中國天津大學計算機科學與技術學院的教授。在此之前,他曾在大連理工大學軟件學院擔任助理教授和副教授。他曾在美國愛荷華州立大學電機與計算機工程系擔任訪問教授(2014-2015年)。他擔任《IEEE網絡科學與工程交易》(TNSE)和《IEEE系統、人和控制論:系統》的副編輯;《Ad Hoc Networks》(愛思唯爾)的領域編輯;《計算機與電氣工程》(愛思唯爾)和《人本計算與信息科學》(春秋)的副編輯;以及《未來世代計算機系統》的客座編輯。他還擔任多個國際會議的總主席、程序主席、研討會主席、宣傳主席、出版主席和技術計劃委員會成員。他是9本書的作者/合著者,並在國際期刊和會議論文集上發表了150多篇科學論文,包括《IEEE/ACM網絡交易》、《IEEE移動計算交易》、《IEEE知識與數據工程交易》、《IEEE工業信息學交易》、《IEEE通信調查與教程》、《IEEE通信》、INFOCOM和GLOBECOM等。他的10篇論文被列為ESI高引用論文。他為4個受版權保護的軟件系統的開發做出了貢獻,並持有16項專利。他是中國計算機學會(CCF)的傑出會員,也是IEEE和ACM的高級會員。

陳寧是天津大學的博士研究生。他的研究重點是物聯網,包括韌性優化、無線傳感器網絡、人工智能、大數據分析、智慧城市和車聯網。他在領先期刊上發表了10多篇論文,其中包括兩篇ESI高引用論文。

張松偉先生目前是天津大學的技術工程師。他在物聯網拓撲的韌性優化方面具有豐富的經驗。