Stable Period Extension for Heterogeneous Model in Wireless Sensor Network

Abstract

In past few decades, energy efficiency issue in wireless sensor network (WSN) has attracted researchers due to its constrained power source. Focus on the parameters which affects the energy level of the sensor nodes of the WSN is the key to attain energy optimization. Introduction of heterogeneity increases the capability and lifetime. In this paper, we propose a heterogeneous-model-based energy efficient scheme for clustering. Any clustering algorithm which groups the sensors can contribute in increasing efficiency of the network. This paper proposes an energy conscious clustering method which takes into account the energy of the nodes residing within the proximity of its transmission range. Indecent designed self-organizing clustering algorithm can drop down the lifetime of the nodes. The simulation work of the proposed algorithm is done for heterogeneous energy model with varying parameters. Simulation results ratify the stability period extension of proposed protocol. The proposed algorithm is capable to prolong the stable period of network and balances the overall energy dissipation of the network over its comparatives.