Choose the Appropriate Cluster Head for Decrease Energy Consume in Wireless Sensor Networks Based on Gravitational Emulation Local Search Algorithm

New Wireless Sensor Networks (WSN), is the new generation of real-time embedded systems with limited computation, energy and storage which have variety usage, especially when that is not possible using traditional networks. Given that, in this networks energy problem is important major challenge, using Clustering model can be considered as a solution to overcome this problem. In this instruction, sensor nodes grouped in a set of cluster and pick out a central node for Cluster Head (CH) node. Choose the appropriate cluster, reduce energy consumption in these networks, as a result increase networks lifetime. Hence, in this study, unlike previous studies, used Gravitational Emulation Local Search Algorithm (GELS), for clustering and select appropriate CH. This method is based on three descriptors of energy, dispersion and centrality of nodes, and simulations indicate, where the CH only selected based on local data set, significantly increase network lifetime.