A memetic algorithm approach to clustering in mobile wireless sensor networks

Wireless sensor network (WSN) is the interconnection of wireless nodes with limited energy and memory. These networks can be deployed for many critical applications like military operations, rescue management, fire detection and so on. In flat routing structure every node plays equal role of sensor and a router. The topology may change very frequently due to the mobile nature of nodes in WSNs. Maintaining dynamic topology may produce more overhead messages. To avoid topology maintenance overhead messages, an optimized cluster based mobile wireless sensor network using memetic algorithm is proposed in this paper. The nodes in this network are first divided into clusters. The cluster leaders then transmit data to that base station. The network is validated through extensive simulation study. The results show that the proposed technique has superior results compared to existing techniques.