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Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance by

Description: Wireless Sensor Networks by Damodar Reddy Edla, Mahesh Chowdary Kongara, Amruta Lipare, Venkatanareshbabu Kuppili, Kannadasan K. Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description With the evolution of soft computing, bio-inspired algorithms have gained more attention in recent years. This book is aimed at undergraduates, graduates and researchers working in the domain of wireless networks. Publisher Description 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. Author Biography 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 Schoolof 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. Heis also Editorial Board member of several international journals. Mahesh Chowdary Kongara received the B.Tech. Degree in Computer Science and Engineering from SreeVidyanikethan 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 TechnologyGoa. 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 inComputer 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. Details ISBN 0367342413 ISBN-13 9780367342418 Title Wireless Sensor Networks Author Damodar Reddy Edla, Mahesh Chowdary Kongara, Amruta Lipare, Venkatanareshbabu Kuppili, Kannadasan K. Format Hardcover Year 2020 Pages 146 Publisher Taylor & Francis Ltd GE_Item_ID:139816399; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. 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Price: 120.76 USD

Location: Fairfield, Ohio

End Time: 2024-12-04T00:31:57.000Z

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Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance by

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Restocking Fee: No

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Item must be returned within: 30 Days

Refund will be given as: Money Back

Format: Hardcover

ISBN-13: 9780367342418

Author: Damodar Reddy Edla, Mahesh Chowdary Kongara, Amruta Lipare

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Book Title: Wireless Sensor Networks

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