Finding Agent-Based Energy-Efficient Routing in Sensor Networks using Parallel Genetic Algorithm

Abstract

Recent advances in wireless sensor networks have led us to search for new routing protocols specifically those designed for sensor networks where energy awareness is an essential consideration. In this paper, a modified cost-energy (MCE) combined scheme for energy efficient routing in sensor networks has been proposed. We have added a parameter to CE combined scheme and obtained better results. We have used parallel genetic algorithm (PGA) to determine the parameters of MCE combined scheme. By using the proposed scheme, due to lower power consumption, the life time of the sensor network is prolonged. Simulation results show about 40% improvement in "average energy consumption per agent" of the network comparing MCE combined scheme with other schemes discussed in this paper.