Energy management routing in wireless sensor networks

Abstract

Wireless Sensor Networks sensor nodes collect, process, and communicate data acquired from the physical environment to an external Base-Station (BS). Its flexibility in terms of the shape of the network and mobility of the sensor nodes makes it special. Sensor nodes in WSNs are normally battery-powered, so energy has to be carefully utilized in order to avoid early termination of sensors’ lifetimes. Also sensors position in network is also initially not determined so sensor should be capable of generating optimal routing path and transmitting data to the base station. Second constraint with the sensors is bandwidth. Considering these two limitations it is necessary routing and sensing algorithm that use innovative methods to preserve energy of sensors. In this paper we use neural network to conserve energy of WSN and increase the life of network.