Cluster head selection using evolutionary computing in wireless sensor networks

Wireless Sensor Network (WSN) comprises of micro sensor nodes with limited energy and processing ability. It is used in military as well as civil applications. In order to enhance the network life time by the period of a particular mission, many routing protocols have been devised. One of these are network clustering, in which network is partitioned into small clusters and each cluster is monitored and controlled by a node, called Cluster Head (CH). The CH should be powerful, closer to the cluster-centroid, less vulnerable and has low mobility, so that it can aggregate the data from its own cluster nodes and then send it directly to the Base Station (BS). In this paper, we are using the method of evolutionary computing for the selection of the CHS. The BS periodically runs the proposed algorithm to select new CHs after a certain period of time. Results show that network life time is drastically increases by the help of evolutionary computing.