Computational Intelligence for Wireless Sensor Networks e-bog
436,85 DKK
(inkl. moms 546,06 DKK)
Computational Intelligence for Wireless Sensor Networks: Principles and Applications provides an integrative overview of the computational intelligence (CI) in wireless sensor networks and enabled technologies. It aims to demonstrate how the paradigm of computational intelligence can benefit Wireless Sensor Networks (WSNs) and sensor-enabled technologies to overcome their existing issues.This b...
E-bog
436,85 DKK
Forlag
Chapman and Hall/CRC
Udgivet
25 juli 2022
Længde
202 sider
Genrer
TJKW
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9781000594164
Computational Intelligence for Wireless Sensor Networks: Principles and Applications provides an integrative overview of the computational intelligence (CI) in wireless sensor networks and enabled technologies. It aims to demonstrate how the paradigm of computational intelligence can benefit Wireless Sensor Networks (WSNs) and sensor-enabled technologies to overcome their existing issues.This book provides extensive coverage of the multiple design challenges of WSNs and associated technologies such as clustering, routing, media access, security, mobility, and design of energy-efficient network operations.It also describes various CI strategies such as fuzzy computing, evolutionary computing, reinforcement learning, artificial intelligence, swarm intelligence, teaching learning-based optimization, etc. It also discusses applying the techniques mentioned above in wireless sensor networks and sensor-enabled technologies to improve their design.The book offers comprehensive coverage of related topics, including:Emergence of intelligence in wireless sensor networksTaxonomy of computational intelligenceDetailed discussion of various metaheuristic techniquesDevelopment of intelligent MAC protocolsDevelopment of intelligent routing protocolsSecurity management in WSNsThis book mainly addresses the challenges pertaining to the development of intelligent network systems via computational intelligence. It provides insights into how intelligence has been pursued and can be further integrated in the development of sensor-enabled applications.