Abstract
Mobile ad hoc networks consist of wireless hosts that communicate with each other in the absence of a fixed infrastructure. Location of mobile nodes is plays a vital role in mobile adhoc networks, It provides useful routing information such as coverage, location service, target tracking and rescue. Due to mobility of mobile nodes, its leads path failure breaks. Hence the location information cannot be predicted. In this research work, we have developed an multipath energy optimized localization approach which attains to make a balance between network life time, location updated rate, energy and delay among the mobile nodes. My proposed work consists of three phases. In the first phase of the scheme is multipath routing prediction. In second phase, Cluster head is choosen based on mobile election phase. In third phase, optimized energy routing based on energy consumption model. By simulation results ELOER achieves high network lifetime, high location update rate, while attaining low end to end delay, less energy consumption than the existing schemes.