CCGA: Clustering Based on Cluster Head with Genetic Algorithm in Wireless Sensor Network

Wireless sensor networks are emerged as a new technology in different applications to get information from environment in recent years. On of the most important challenges in this type of networks is energy shortage of sensors. Where as energy restriction, it should be mentioned a fundamental solution to providence energy consumption. The most suitable solution is clustering. In this paper the clustering approach is done by cluster head s, in which the cluster heads are selected from sensor nodes and then the nodes become member of nearest cluster head. Furthermore, other parameters are used in clustering process control. The number of cluster member parameter in order to balance the number of members in each cluster and also cluster heads distance to create harmony in cluster density. We use multi criteria genetic algorithm to search optimal answer in expended state space.