Efficient Node Selection Mechanism in Wireless Sensor Networks Using Fast Track Random Walk Model

Abstract

In Wireless Sensor Networks (WSN) each node encompasses sensor device and processing units where sensor devices used to collect information from other sensor devices and processing units helps to forward data from source to destinations using several intermediate nodes. WSN forms network using huge number of sensor nodes and Base Station(BS) coordinatestotal network. However efficient power management is necessary to maximize lifetime of sensor node because selecting inconsistent paths for data forwarding reduces or wastes battery of node, whenever battery levels comes down node will move out of network usage which in turn affects total network lifetime so to address above problems it requires dynamic routing techniques. In existing lot of research carried out finding reliable routing protocol among all cluster-based protocols has shown decent performance in aspects like balanced energy rotation and increase network life time but still there is chance to improve network performance by choosing nodes with maximum link stability. Our proposed approach focuses on link stability of sensor nodes and selects precise nodes as intermediate nodes bases on energy levels, distance and position in cluster using random walk model in cluster based wireless sensor networks. Simulation analysis shows that proposed technique outperforms in terms of choosing accurate intermediate sensor node which lessens probability of link cut offs due to traffic or energy parameters.