Consumed Energy as a Factor for Cluster Head Selection in Wireless Sensor Networks

Energy is the primary constraint on designing Wireless Sensor Networks (WSN) practically. This leads to limited network life time of WSN. Different communication protocols and algorithms are investigated to find ways to reduce power consumption. Low-Energy Adaptive Clustering Hierarchy (LEACH) and LEACH with deterministic cluster head selection are some of the cluster head algorithms that enable to optimize power consumption of WSN. However both rotation of cluster heads and metric of residual energy are not sufficient to balance the energy consumption across the network. This paper focuses on reducing power consumption by considering consumed energy as a factor for cluster head selection of each node to increase network life time of WSN rather than residual energy. Hence we propose a new threshold formula of LEACH. MATLAB simulation results show with this new approach, an increase of network lifetime by about 47-575% can be achieved.