Genetic Optimal Deployment in Wireless Sensor Networks

Abstract

Wireless sensor networks rise sharply recently. It has potential to monitor environments for both military and civil applications. A wireless sensor network is composed of a distributed collection of nodes, each of which has sensing, computation, communication and locomotion capabilities. To support a large number of sensors on location, deployment, and tracking of wireless sensor networks, the location and the number of the nodes that perform data fusion and data aggregation are usually the important point of problem. In this paper we suppose an algorithm to network these sensors into cluster-based network. By way of Genetic Algorithm to find the location of cluster-heads and balance load among these clusters simultaneously to extend the lifetime of wireless sensor networks.