Shahrzad Dehghani - Master Student Department of Software Engineering Faculty of Computer Engineering University of Allame Naeini
Mohammad Pourzaferani - Ph.D Candidate Department of Software Engineering Faculty of Computer Engineering University of Isfahan
Behrang Barekatain - Assistant Professor Department of Software Engineering Faculty of Computer Engineering University of Najaf Abad

Wireless Sensor Networks (WSNs) consist of a large number of sensors which the sensors having capability of sensing, computation, and wireless communications with a life limited battery. Energy is a challenging issue in these networks, but various routing protocols cluster based are used to overcome this problem. In this paper, we propose a new hybrid method of K-means and improved GAs for the sake of reducing energy conception and prolonging network lifetime. In the proposed method, will be reduced energy conception by finding the optimum number of cluster heads (CHs) nodes by using improved Genetic Algorithm (GA) and dynamic clustering the network environment that is will be doing by k-means algorithm. We have made simulations on NS-2 that show the longer network lifetime of the proposed algorithm than the LEACH, GAEEP and GABEEC protocols.

component; wireless sensor networks, clustering, genetic algorithm, k-means, energy-efficient