EEAR: Efficient Energy Aware Routing in Wireless Sensor Network

Abstract

The energy efficiency in wireless sensor networks plays a very important role because of the limited power of the battery used within nodes. This thesis presents Efficient Energy Aware Routing (EEAR) algorithm for wireless sensor networks that makes routing decisions on the basis of node's residual energy. EEAR explores the optimized routing path by implementing a model which is function of the shortest distance and the residual energy of all nodes in a routing path. The proposed model also exploits the neighbor's infom1ation of each node in the optimized path in order to reduce the probability of packet loss and to increase throughput. The proposed algorithm was tested using OMNET++. Simulation and comparative analysis show that EEAR gives higher packet deli very rate, less energy consumption with the maximum network life time as compared to traditional routing algorithms for wireless sensor networks.