Clustering and Routing Algorithms for Wireless Sensor Networks

Description

Wireless Sensor Networks have a wide range of applications in different areas. Their main constraint is the limited and irreplaceable power source of the sensor nodes. In many applications, energy conservation of the sensor nodes and their replacement or replenishment due to the hostile nature of the environment is the most challenging issue. Energy efficient clustering and routing are the two main important topics studied extensively for this purpose.

This book focuses on the energy efficient clustering and routing with a great emphasis on the evolutionary approaches. It provides a comprehensive and systematic introduction of the fundamentals of WSNs, major issues and effective solutions.

Table of Contents

1. Introduction
2. A Survey
3. Meta-heuristic Approaches
4. Approximation Algorithms for Clustering
5. Heap and Parameter based Clustering
6. Genetic Algorithm and Differential Evolution based Clustering
7. Particle Swarm Optimization for Clustering and Routing
8. Distributed Clustering and Routing Algorithm

Author(s) Description

Prasanta K. Jana received M. Tech. degree in Computer Science from University of Calcutta, in 1988 and Ph. D. from Jadavpur University in 2000.

Pratyay Kuila received his B.Tech degree in 2008 and M.Tech degree in 2011 both in Computer Science and Engineering from West Bengal University of Technology, Kolkata. He has received his PhD degree in 2014 from Indian School of Mines, Dhanbad.