SINK RELOCATION AND NODE RECOVERY FRAMEWORK FOR NETWORK LIFETIME ENHANCEMENT IN WSN

In recent years, wireless sensor network (WSN) has gained more importance mainly in the field of environmental monitoring, intrusion detection and battle field surveillance. However as the sensors batteries are too tiny in size,it leads to significant limitation in terms of energy and their life period. In the conventional WSN generally sensor nodes deliver sensed data back to the sink/ base station via multi-hopping. Since this delivery process consumes more battery energy, the sensor nodes near the sink quickly drain out of their battery energy and consequently shorten the network lifetime. To overcome this problem this paper proposes a sink relocation and node recovery framework which enhance the network lifetime of WSN. The proposed mechanism incorporates the following two stages. In the first stage it employs battery energy-aware sink relocation (BEASR) algorithm for sink relocation. In the second stage a dead node recovery technique using genetic algorithm (GA) is implemented which replaces the dead nodes and successfully enhances the network lifetime. The experimental result conducted on MATLAB demonstrates the improved performance of proposed framework in terms of reduction in average power consumption, number of hops and number of dead nodes