Improved High Energy First Clustering Algorithm for Wireless Sensor Networks

Wireless sensor networks (WSNs) consists of large number of spatially distributed autonomous sensor nodes. The sensor nodes have limited energy resources, processing and storage capabilities. Clustering is an energy efficient and scalable way to organize the WSN. Clustering algorithm is often adopted in wireless sensor networks but many clustering algorithm do not provide the required energy efficiency. The main objective of this research is to increase the throughput and to improve the energy efficiency of wireless sensor networks. In this paper we propose a modified High Energy First (mHEF) clustering algorithm, which is an optimal cluster head selection algorithm where a node with higher residual energy have higher probability to become a cluster head than those with lower residual energy, so that the network energy can be dissipated uniformly . The network simulator 2 (NS2) is used to compare Low Energy Adaptive Clustering Hierarchy (LEACH) and the clustering network model mHEF. Simulation results show that proposed mHEF can provide better results compared to