Date of Publication :16th August 2017

Abstract: Nature has always been a great source of inspiration to all kind of researches so far. Genetic Algorithms (GA) were invented to mimic some of processes observed in natural evolution by John Holland in 1970s. GA simulates “survival of fittest” among individuals over consecutive generation for solving optimization problems. In this paper considering Fault tolerance as one of the important issues in Distributed Sensor Networks, the Genetic Algorithm has been proven to be the best. The Distributed Sensor Networks are interconnection of tiny, low cost, low-powered and multi-functional sensor nodes. However these DSNs (sensors) are highly prone to malicious attacks, faults due to energy depletion and sometimes due to link failure. When energy in some of the sensor nodes reduces or gets depleted the implementation of Genetic Algorithm have proven to be the masterpiece for development of healthier network than any other algorithms. As we know prevention is better than cure. This paper aims to prevent the sensor nodes from occurring failure. Thus the main objective of the current work is to generate energy efficient DSNs and a way towards fault tolerance.

Reference :