Bio inspired fault tolerant clustering mechanisms for wireless sensor networks

Abstract

The bloom in wireless communication and information technology paved the way for the development of Wireless Sensor Networks WSN These sensor nodes are normally deployed randomly in coarse and remote physical environments Owing to the fact of its versatile characteristics of expeditious deployment self configuration and fault tolerance the same are found widely being applied in defence disaster monitoring health care and home automation The various challenges open out for WSN are energy efficiency scalability fault tolerance QoS etc Among these challenges energy conservation and fault management plays an essential role in ensuring the lifetime and reliability of the network The occurrence of any fault in the wireless sensor network leads to the loss of data and energy The objective of the research is to overcome these issues by developing an energy efficient fault tolerant clustering network based on bio inspired optimization algorithms newline