Alive Nodes Based Improved Low Energy Adaptive Clustering Hierarchy for Wireless Sensor Network

Energy efficiency is one of the important issues in the Wireless Sensor Networks (WSN). In this paper, a decentralized Alive Nodes based Low Energy Adaptive Clustering Hierarchy (AL-LEACH) is presented, that considers number of alive nodes in the network to elect the cluster heads. Alive nodes are used to dynamically compute weights of random numbers. Random number is one of the important parameters to elect cluster heads for the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. Extensive simulations are carried out to compare our proposed approach AL-LEACH with Low Energy Adaptive Clustering Hierarchy (LEACH), Low energy adaptive clustering hierarchy with Deterministic Cluster-Head Selection (LDCHS) and Advanced LEACH routing protocol for wireless micro sensor networks (ALEACH). Simulation results show that AL-LEACH improves the network life time and number of packets received by Base Station (BS) through balanced energy consumption of the network.