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Книга Nature Inspired Computing for Wireless Sensor Networks Amartya Mukherjee

Nature Inspired Computing for Wireless Sensor Networks

Автор: Amartya Mukherjee, Santosh Kumar Das
Език: Английски език
Корици: С меки корици
Издател: Springer Nature Singapore
Наличност: Външен склад
Изпращаме след 8-11 дни
157.63 € 308.31 лв
This book presents nature inspired computing applications for the wireless sensor network (WSN). Alt...

Информация за книгата

Автор
Amartya Mukherjee, Santosh Kumar Das
Език
Английски език
Корици
Книга - С меки корици
Издадена
2021
страници
356
EAN
9789811521270
ISBN
9811521271
Enbook ID
33574017
Издател
Springer Nature Singapore
Теглоt
615
Размери
155 x 235 x 19

Пълно описание

This book presents nature inspired computing applications for the wireless sensor network (WSN). Although the use of WSN is increasing rapidly, it has a number of limitations in the context of battery issue, distraction, low communication speed, and security. This means there is a need for innovative intelligent algorithms to address these issues.The book is divided into three sections and also includes an introductory chapter providing an overview of WSN and its various applications and algorithms as well as the associated challenges. Section 1 describes bio-inspired optimization algorithms, such as genetic algorithms (GA), artificial neural networks (ANN) and artificial immune systems (AIS) in the contexts of fault analysis and diagnosis, and traffic management. Section 2 highlights swarm optimization techniques, such as African buffalo optimization (ABO), particle swarm optimization (PSO), and modified swarm intelligence technique for solving the problems of routing, network parameters optimization, and energy estimation. Lastly, Section 3 explores multi-objective optimization techniques using GA, PSO, ANN, teaching-learning-based optimization (TLBO), and combinations of the algorithms presented. As such, the book provides efficient and optimal solutions for WSN problems based on nature-inspired algorithms.

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