Game theoretic energy aware power management in Mobile Ad hoc Networks

Abstract

The major goal of research in Mobile Ad hoc Networks (MANET) is the efficient utilization of scarce available resources while improving network throughput and network lifetime. Energy consumption is one precious component of these resources as multimedia applications consumes enormous amount of energy during communication. To achieve the goal of optimal energy conservation of a MANET, an optimal power control technique based on non-cooperative algorithm is presented in this paper. The proposed power control game uses Signal-to-Interference-plus-Noise Ratio (SINR), residual energy of nodes as an efficient pricing function to deduce the utility of nodes which achieves the required Quality of Service (QoS) of MANET. The pricing function helps to achieve Pareto improvement in power control game. To improve energy efficiency and get fast convergence point, “Nash equilibrium”, a Logarithmic Grey Wolf Optimization (lGWO) algorithm is used to achieve global optimum solution. Simulation results and its analysis of the proposed Energy-Aware Power Control Game (EAPCG) shows that the convergence speed of the proposed technique is better than Non-Cooperative Power Control Game (NCPCG) and Utility based Stochastic Fictitious Play with Exploiting the Utility Structure (USFP-EUS).