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Robustness Optimization for IoT Topology / by Tie Qiu, Ning Chen, Songwei Zhang

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2022
大きさ	XIV, 214 p. 1 illus : online resource
著者標目	*Qiu, Tie author Chen, Ning author Zhang, Songwei author SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0002063	Computer Scinece R0 2005-6,2022-3				9789811696091

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一般注記	1.Introduction -- 2.Preliminaries of robustness optimization -- 3.Robustness optimization based on self-organization -- 4.Evolution-based robustness optimization -- 5.Robustness optimization based on swarm intelligence -- 6.Robustness optimization based on multi-objective cooperation -- 7.Robustness optimization based on self-learning -- 8.Robustness optimization based on node self-learning -- 9.Future research directions 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 HTTP:URL=https://doi.org/10.1007/978-981-16-9609-1
件　名	LCSH:Computer networks LCSH:Artificial intelligence LCSH:Electronic digital computers—Evaluation FREE:Computer Communication Networks FREE:Artificial Intelligence FREE:System Performance and Evaluation
分　類	LCC:TK5105.5-5105.9 DC23:004.6
書誌ID	EB00001451
ISBN	9789811696091