Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance
暫譯: 無線感測器網路：優化性能的演化演算法
Edla, Damodar Reddy, Kongara, Mahesh Chowdary, Lipare, Amruta
- 出版商: CRC
- 出版日期: 2020-11-24
- 售價: $4,910
- 貴賓價: 9.5 折 $4,665
- 語言: 英文
- 頁數: 152
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367342413
- ISBN-13: 9780367342418
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相關分類:
感測器 Sensor、Algorithms-data-structures
海外代購書籍(需單獨結帳)
商品描述
Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance provides an integrative overview of bio-inspired algorithms and their applications in the area of Wireless Sensor Networks (WSN). Along with the usage of the WSN, the number of risks and challenges occurs while deploying any WSN. Therefore, to defeat these challenges some of the bio-inspired algorithms are applied and discussed in this book.
Discussion includes a broad, integrated perspective on various challenges and issues in WSN and also impact of bio-inspired algorithms on the lifetime of the WSN. It creates interdisciplinary theory, concepts, definitions, models and findings involved in WSN and Bio-inspired algorithms making it an essential guide and reference. It includes various WSN examples making the book accessible to a broader interdisciplinary readership.
The book offers comprehensive coverage of the most essential topics, including:
- Evolutionary algorithms
- Swarm intelligence
- Hybrid algorithms
- Energy efficiency in WSN
- Load balancing of gateways
- Localization
- Clustering and routing
- Designing fitness functions according to the issues in WSN.
The book explains about practices of shuffled complex evolution algorithm, shuffled frog leaping algorithm, particle swarm optimization and dolphin swarm optimization to defeat various challenges in WSN. The author elucidates how we must transform our thinking, illuminating the benefits and opportunities offered by bio-inspired approaches to innovation and learning in the area of WSN. This book serves as a reference book for scientific investigators who shows an interest in evolutionary computation and swarm intelligence as well as issues and challenges in WSN.
商品描述(中文翻譯)
《無線感測器網路：優化性能的演化演算法》提供了一個整合性的概述，介紹生物啟發演算法及其在無線感測器網路（Wireless Sensor Networks, WSN）領域的應用。隨著無線感測器網路的使用，部署任何無線感測器網路時會出現許多風險和挑戰。因此，為了克服這些挑戰，本書中應用了幾種生物啟發演算法並進行了討論。
討論內容包括對無線感測器網路中各種挑戰和問題的廣泛整合視角，以及生物啟發演算法對無線感測器網路壽命的影響。它創造了涉及無線感測器網路和生物啟發演算法的跨學科理論、概念、定義、模型和研究結果，使其成為一本重要的指南和參考書。書中包含各種無線感測器網路的例子，使本書對更廣泛的跨學科讀者群體更具可讀性。
本書全面涵蓋了最重要的主題，包括：
- 演化演算法
- 群體智慧
- 混合演算法
- 無線感測器網路中的能源效率
- 閘道的負載平衡
- 定位
- 聚類與路由
- 根據無線感測器網路中的問題設計適應度函數
本書解釋了如何使用洗牌複雜演化演算法、洗牌青蛙跳躍演算法、粒子群優化和海豚群優化來克服無線感測器網路中的各種挑戰。作者闡明了我們必須轉變思維，揭示生物啟發方法在無線感測器網路創新和學習中所提供的好處和機會。本書作為科學研究者的參考書，對演化計算和群體智慧以及無線感測器網路中的問題和挑戰表現出興趣。
作者簡介
Dr. Damodar Reddy Edla is an Assistant Professsor in the Department of Computer Science and Engineering at National Institute of Technology Goa, India. He received M.Sc. Degree from the University of Hyderabad in 2006, M.Tech. in Computer Application and Ph. D. Degree in Computer Science and Engineering from Indian School
of Mines Dhanbad in 2009 and 2013 respectively. His research interests include Cognitive Neuroscience, Data Mining, Wireless Sensor Networks and Brain-Computer Interface. He has published more than 100 research articles in reputed journals and international conferences. He is the senior member of IEEE and IACSIT. He
is also Editorial Board member of several international journals.
Mahesh Chowdary Kongara received the B.Tech. Degree in Computer Science and Engineering from Sree
Vidyanikethan Engineering College, Tirupati, Andhra Pradesh and the M.Tech. Degree in Department of Computer Science and Engineering from National Institute of Technology Goa, India in 2017. He is currently a Full-Time Research Scholar with the Department of Computer Science and Engineering, National Institute of Technology
Goa. His research interests include Soft Computing, Wireless Sensor Networks, Internet of Things.
Amruta Lipare has received the B.Tech. Degree in Information Technology from Rajarambapu Institute of Technology, Sakharale, Maharashtra, in 2015, and the M.Tech. Degree in Computer Science and Engineering from National Institute of Technology, Goa, in 2017. She is currently a Full-Time Research Scholar with the Department of Computer Science and Engineering, National Institute of Technology Goa. India. Her research interest includes Soft Computing, Wireless Sensor Networks, Evolutionary Computations and Swarm Intelligence.
Dr. Venkatanareshbabu Kuppili, Ph D (IIT Delhi), is with the Machine Learning Group, Department of CSE, NIT Goa, India, where he is currently an Assistant Professor. He was with Evalueserve pvt. ltd, as a Senior Research Associate. He is also actively involved in teaching and research development for the Graduate Program in
Computer Science and Engineering Department at the NIT Goa. He has authored several research papers published in reputed International journals and conferences. He is senior member of IEEE.
Kannadasan has completed his B.Tech in Information Technology at SASTRA University, Tamilnadu and M.Tech in Computer Science and Engineering, National Institute of Technology, Goa. Currently, he is pursuing his PhD degree in National Institute of Technology, Tiruchirappalli. He is student member in IEEE and Secretary at IEEE Student branch, NIT Tiruchirappalli. His research interests include Machine Learning, Wireless Sensor Networks, Swarm optimization techniques, Brain-Computer Interface etc.
作者簡介(中文翻譯)
Dr. Damodar Reddy Edla 是印度國立技術學院果阿分院計算機科學與工程系的助理教授。他於2006年獲得海德拉巴大學的碩士學位，並於2009年和2013年分別在印度礦業學院獲得計算機應用的碩士學位和計算機科學與工程的博士學位。他的研究興趣包括認知神經科學、資料探勘、無線感測器網路和腦機介面。他在知名期刊和國際會議上發表了超過100篇研究文章。他是IEEE和IACSIT的資深會員，並且是幾本國際期刊的編輯委員會成員。
Mahesh Chowdary Kongara 於2017年在安得拉邦的Sree Vidyanikethan工程學院獲得計算機科學與工程的學士學位，並在印度國立技術學院果阿分院獲得計算機科學與工程系的碩士學位。他目前是國立技術學院果阿分院計算機科學與工程系的全職研究學者。他的研究興趣包括軟計算、無線感測器網路和物聯網。
Amruta Lipare 於2015年在馬哈拉施特拉邦的Rajarambapu技術學院獲得資訊科技的學士學位，並於2017年在國立技術學院果阿分院獲得計算機科學與工程的碩士學位。她目前是國立技術學院果阿分院計算機科學與工程系的全職研究學者。她的研究興趣包括軟計算、無線感測器網路、演化計算和群體智慧。
Dr. Venkatanareshbabu Kuppili，博士（IIT Delhi），目前在印度國立技術學院果阿分院的機器學習小組擔任助理教授。他曾在Evalueserve私人有限公司擔任高級研究助理。他也積極參與國立技術學院果阿分院計算機科學與工程系研究生課程的教學和研究發展。他已發表多篇研究論文於知名國際期刊和會議上，是IEEE的資深會員。
Kannadasan 在泰米爾納德邦的SASTRA大學完成了資訊科技的學士學位，並在國立技術學院果阿分院獲得計算機科學與工程的碩士學位。目前，他正在泰盧固邦的國立技術學院提魯吉拉帕利攻讀博士學位。他是IEEE的學生會員，並擔任IEEE學生分會的秘書。他的研究興趣包括機器學習、無線感測器網路、群體優化技術、腦機介面等。
