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Metaheuristics and Reinforcement Techniques for Smart Sensor Applications

Metaheuristics and Reinforcement Techniques for Smart Sensor Applications

Hardback (23 Oct 2024)

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Publisher's Synopsis

This book discusses the fundamentals of wireless sensor networks,and the prevailing method and trends of smart sensor applications. It presents analytical modelling to foster the understanding of network challenges in developing protocols for next-generation communication standards.

 Presents an overview of the low-power sensor, network standards, design challenges and sensor network simulation

 Focusses on clustering, methods available for wireless sensor networks to tackle energy hole problems, load balancing and network lifetime enhancements

 Discusses enhanced versions of energy models enriched with energy harvesting

 Provides an insight into coverage and connectivity issues with genetic meta-heuristics, evolutionary models and reinforcement methodologies designed for wireless sensor networks

 Includes a wide range of sensor network applications and their integration with social networks and neural computing.

The reference book is for researchers and scholars interested in Smart Sensor applications.

Book information

ISBN: 9781032542355
Publisher: CRC Press
Imprint: Chapman & Hall/CRC
Pub date:
DEWEY: 681.2
DEWEY edition: 23
Language: English
Number of pages: 230
Weight: 630g
Height: 234mm
Width: 156mm
Spine width: 16mm