Soft Computing Approach To Design Energy Efficient Protocol In Wireless Sensor Network

Abstract

Abstract The major limitation of Wireless Sensor Network (WSN) is the efficient utilization of energy resources. Maximum energy is lost during communication in terms of transmission power. The minimum and maximum value of transmission power depends on the node density for any particular network. In this research work the transmission power which is generally considered to be fixed for any node is subjected to be changed by taking random values between minimum and maximum transmission power as directed by the proposed neural network model. The idea cab be used in any simulation technique to enhance the lifetime of WSN. It proves that the network can save the energy considerably.