Using self organizing map in wireless sensor network for designing energy efficient topologies

There are many challenges involving WSN design such as the energy resources optimization, the robustness and the network coverage. We address here the problem of energy-efficient topology design. A well designed dynamic topology and efficient routing algorithms may allow a large reduction on the energy consumption. As such type of network, the sensors are connected in an ad-hoc manner, without any deterministic way. This paper is concerned with applying standard routing protocols into wireless sensor network by using topology modified by Neural Network which proves to be energy efficient as compared with unmodified topology. Neural Network has been proved to be a powerful tool in the distributed environment. Here, to capture the true distributed nature of the Wireless Sensor Network (WSN), neural network's Self organizing Feature Map (SOFM) is used.