Metaheuristics and Reinforcement Techniques for Smart Sensor Applications is popular PDF and ePub book, written by Adwitiya Sinha in 2024-10-23, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Metaheuristics and Reinforcement Techniques for Smart Sensor Applications can be Read Online from any device for your convenience.
Metaheuristics and Reinforcement Techniques for Smart Sensor Applications Book PDF Summary
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.
Detail Book of Metaheuristics and Reinforcement Techniques for Smart Sensor Applications PDF
- Author : Adwitiya Sinha
- Release : 23 October 2024
- Publisher : CRC Press
- ISBN : 9781040133910
- Genre : Computers
- Total Page : 253 pages
- Language : English
- PDF File Size : 9,5 Mb
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