Energy Efficient Clustering Based On Neural Network and Routing in Wireless Sensor Network

Energy is a valuable resource in wireless sensor networks. The status of energy consumption should be continuously monitored after network deployment. It can also be used to perform energy efficient routing in wireless sensor networks. In this neural network based energy efficient clustering and routing in wireless sensor network the life time of the network is maximized by balancing the energy consumption among different sensor nodes. In This paper we propose a neural network for energy efficient clustering and routing in wireless sensor network with the objective of maximizing the network life time. In This proposed system we use a self-organizing map neural network for clustering which can cluster nodes based on multiple parameters: Energy level and coordinate of sensor nodes. We applied some maximum energy nodes as weight on self organizing map units and form energy balanced clusters in order to better balance energy consumption in whole network which will prolong the network lifetime. And then it finds multiple paths through ad-hoc on demand distance vector (AODV) Routing Protocol and uses linear programming For the optimization of multiple paths and data transmission.