Metaheuristics and Reinforcement Techniques for Smart Sensor Applications, 1st Edition eBook

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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.

This is a digital product.

Metaheuristics and Reinforcement Techniques for Smart Sensor Applications 1st Edition is written by Adwitiya Sinha; Manju; Samayveer Singh and published by Chapman & Hall. The Digital and eTextbook ISBNs for Metaheuristics and Reinforcement Techniques for Smart Sensor Applications are 9781040133965, 1040133967 and the print ISBNs are 9781032542355, 1032542357. Additional ISBNs for this eTextbook include 9781040133910, 9781003427780.