Paper Title
AN ENERGY-EFFICIENT HETEROGENEOUS CLUSTERING IN WSN USING HYBRID PSO

Abstract
Wireless sensor network (WSN) nodes are devices with less energy, and the key goals of the WSN routing protocols are to lessen node energy consumption and extended network lifetime. However, irrational considerations of node energy heterogeneity can result in an energy imbalance among nodes in Heterogeneous WSNs (HWSNs).This work proposes a new and dynamic GAEBCS(Genetic Algorithm-Entropy Based Clustering Scheme) method which reduces the rate of convergence from local entropy information of sensor nodes and uses this as criteria of better cluster formation and cluster head selection. The simulation is conducted at MATLAB and the findings of the simulation show that the proposed approach exceeds the energy consumption and the network lifetime of the existing research methodology. Keywords - WSN, Residual Energy (RE), CH Selection, Energy- Efficient (EE), Network Lifetime, GAEBCS