Wireless Sensor Networks e-bog
436,85 DKK
(inkl. moms 546,06 DKK)
Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance provides ana integrative overview of bio-inspired algorithms and their applications in the area of Wireless Sensor Networks (WSN).a 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 ...
E-bog
436,85 DKK
Forlag
Chapman and Hall/CRC
Udgivet
23 november 2020
Længde
134 sider
Genrer
Computer science
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9781000214031
Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance provides ana integrative overview of bio-inspired algorithms and their applications in the area of Wireless Sensor Networks (WSN).a 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.a a 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.a It createsa interdisciplinary theory, concepts, definitions, models and findings involved ina 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.a The book offers comprehensive coverage of the most essential topics, including:Evolutionary algorithmsSwarm intelligencea Hybrid algorithmsEnergy efficiency in WSNLoad balancing of gatewaysLocalizationClustering and routingDesigning fitness functions according to the issues in WSN.a 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.a