Abstract

A wireless sensor network(wsn) typically has little or no transportation. It contain of a number of sensor nodes (few tens to thousands) working together to monitor a region to obtain data about the environment. Sensors have issues related to energy routing and coverage .These failures are inevitable due to the lack of monitoring and unattended deployment. Sensor nodes are exposed to make fiasco. In order to address this problem, a fault node recovery algorithm is proposed for enhancing the lifetime of wireless sensor network and to increase the fault tolerance of the node. the genetic algorithm evoke chromosomes which are treated as solutions. The number of chromosomes is obtained according to the association problem. Each chromosome length is used to determine the number of sensor nodes that are depleted or nonviable. The algorithm combines the grade diffusion algorithm with the genetic algorithm. It enhances the number of functional nodes, lesson the rate of data loss by 99% and slash down the rate of energy intake.