| 书目名称 | Nature Inspired Computing for Wireless Sensor Networks | | 编辑 | Debashis De,Amartya Mukherjee,Nilanjan Dey | | 视频video | | | 概述 | Discusses recent research trends in nature-inspired computing for wireless sensor networks.Presents applications to design, analysis and modeling – key areas in wireless sensors.Explores computational | | 丛书名称 | Springer Tracts in Nature-Inspired Computing | | 图书封面 |  | | 描述 | This book presents nature inspired computing applications for the wireless sensor network (WSN). Although the use of WSN is increasing rapidly, it has a number of limitations in the context of battery issue, distraction, low communication speed, and security. This means there is a need for innovative intelligent algorithms to address these issues..The book is divided into three sections and also includes an introductory chapter providing an overview of WSN and its various applications and algorithms as well as the associated challenges. Section 1 describes bio-inspired optimization algorithms, such as genetic algorithms (GA), artificial neural networks (ANN) and artificial immune systems (AIS) in the contexts of fault analysis and diagnosis, and traffic management. Section 2 highlights swarm optimization techniques, such as African buffalo optimization (ABO), particle swarm optimization (PSO), and modified swarm intelligence technique for solving the problems of routing,network parameters optimization, and energy estimation. Lastly, Section 3 explores multi-objective optimization techniques using GA, PSO, ANN, teaching–learning-based optimization (TLBO), and combinations of the alg | | 出版日期 | Book 2020 | | 关键词 | Intelligent Sensor; Wireless Sensor Network; Ubiquitous Sensing; Nature Inspired Sensing; Cyber Physical | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-15-2125-6 | | isbn_softcover | 978-981-15-2127-0 | | isbn_ebook | 978-981-15-2125-6Series ISSN 2524-552X Series E-ISSN 2524-5538 | | issn_series | 2524-552X | | copyright | Springer Nature Singapore Pte Ltd. 2020 |
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发表于 2025-3-21 17:17:06
