Shima Mohbininegad - Dept of Computer Engineering Islamic Azad University South Tehran Branch,Iran
Faezeh Akbari - Sina Institute of Higher Education

The Energy problem is a key issue for Wireless Sensor Networks (WSNs). Clustering in the wireless sensornetworks is one of the effective ways, which optimizes energy consumption and extends the life time of thesensor networks. Clustering groups a number of nodes to form a cluster that managed by the cluster head. Thecluster head is selected by considering the node s residual energy as well as the distance between this nodeand its neighbors. Therefore, the cluster heads that have minimum residual energy changes to the ordinarynode and will select a new cluster head with high residual energy. The main goal of the clustering algorithmsis to minimize the energy consumption and enhance the network lifetime of WSNs. In this paper, a learningautomata-based clustering algorithm for the WSN is proposed. Moreover, experiments show that the proposedalgorithm prolongs the network lifetime compared to the other existing methods.

Wireless sensor networks, Clustering, Energy consumption, Sensor node, Learning Automata