Energy map generation in wireless sensor network using grey system theory

Abstract

Wireless sensor nodes are deployed in hostile environment as applications of wireless sensor network. Battery is the source of energy of these sensor nodes. Replacing their batteries is not feasible due to their deployment in hostile area. In the proposed research, main objective is to extend the lifetime of network by predicting the residual energy of sensor nodes. For enhancing the lifetime of the wireless sensor network, it is necessary to keep track of residual energy level. Tracking residual energy status of sensor nodes is helpful in creating the energy map for network. In this paper, an approach to predict the residual energy level and to generate energy map for wireless sensor network is proposed. Proposed algorithm is used with clustering algorithm. Simulation results show that proposed algorithm reduces number of the messages transmitted which intern increases network lifetime.