A Teaching Learning Based Optimization Algorithm for Cluster Head Selection in Wireless Sensor Networks

Abstract

In wireless sensor networks, clustering techniques are widely used for cluster heads selection and also to reduce power consumption.Therefore, these techniques are applied to increase network life time and optimum number of CHs.In this work, teaching learning based optimization (TLBO) algorithm is adopted for finding the optimum number of cluster heads in a sensor field.Another, objective of this algorithm is also to reduce power consumption and increase the network life time.The proposed algorithm is integrated with LEACH protocol, called LEACH-T and considers the residual energy for selecting the CHs.Simulation results show that the proposed algorithm enhances the network life time by reducing the power consumption during packets transmission.It is also observed that the proposed algorithm is an effective and efficient algorithm for CHs selection.