An energy equilibrium routing algorithm based on cluster-head prediction for wireless sensor networks

Abstract

Because of the limited energy in wireless sensor networks, the research on routing technology on the network layer is pivotal in the architecture of wireless sensor networks. Aiming at the defect problem of the clustering network, this study presents an energy equilibrium routing algorithm based on Cluster-head Prediction for Wireless Sensor Networks (CP-EERP). The algorithm uses the cluster-head prediction mechanism which improves cluster-head lifetime, balances the energy between nodes and prolongs the network lifetime. CP-EERP includes network initialization phase, cluster building phase, data transmission phase and cluster-head prediction phase. The simulation result shows that the algorithm performs better, in terms of power efficiency and the number of communication neighbors, than the classic routing algorithm. © 2010 Asian Network for Scientific Information.