An energy-based clustering method for WSNs using artificial bee colony and genetic algorithm

The limited number of resources in Wireless sensor Networks (WSNs) and long communication distance between sensors and base station causes high energy consumption and consequently reduce the network lifetime. Therefore one of the important parameters in these networks is the optimized energy consumption. One way to reduce the energy consumption is to cluster the network. In this study, a dynamic clustering method is presented based on the artificial bee colony and the genetic algorithm. In fact, the genetic algorithm is used for determining the cluster heads and the artificial bee colony algorithm is used for determining member nodes in each cluster. The proposed algorithms were simulated by OMNeT++simulator. Simulation results showesome improvements.