| 书目名称 | Robustness Optimization for IoT Topology | | 编辑 | Tie Qiu,Ning Chen,Songwei Zhang | | 视频video | | | 概述 | Provides in-depth studies on the theory and hands-on practices of the IoT topology robustness.Discusses the robustness optimization framework, from self-organizing to intelligent networking.Explores i | | 图书封面 |  | | 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 h | | 出版日期 | Book 2022 | | 关键词 | Internet of Things; Robustness Optimization; Evolutional Algorithm; Artificial Intelligence; Smart City | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-16-9609-1 | | isbn_softcover | 978-981-16-9611-4 | | isbn_ebook | 978-981-16-9609-1 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 18:07:15
