Energy and mobility aware route optimisation technique based on genetic algorithm in MANETs

Abstract

Due to the fact that in mobile ad hoc networks (MANETs), nodes being highly mobile and operate on battery capacity, battery consumption and mobility of the nodes pose as major issues. To resolve this issue, the energy consumed by each node should be distributed equally thereby minimising the overall transmission power. In order to achieve this, an energy and mobility aware route optimisation technique based on genetic algorithm has been proposed in this paper. In this approach, the network estimates the estimated geometrical distance (EGD) metric. Here, the weak links are excluded from the network. Then, an estimation of min-max battery capacity and node connectivity index is done. Genetic algorithm is applied for selecting the routes with a best fitness function based on these metrics. Based on the simulation results, we gather that the proposed technique reduces delay and overhead along with the increased packet delivery ratio and residual energy.