Adaptive Modulation and Coding for Utility Enhancement in VMIMO WSN Using Game Theory

Abstract

Abstract-The primary component of resource management in wireless sensor network (WSN) is transmitter power control since the sensors are tiny, low cost battery powered devices. The adverse impacts caused by radio irregularities and fading increase the energy consumption and thereby reduce the WSN lifetime. An efficient power control technique is important to sustain system quality and efficiency of wireless sensor networks in such fading conditions. To reduce the fading effects in wireless channel, multi-input multi-output (MIMO) scheme is utilised for sensor network. This paper proposes a power control solution for Virtual MIMO (VMIMO) WSN using game theoretic approach. The game is formulated as a utility maximizing distributed power control game in VMIMO WSN considering the residual energy of the nodes along with adaptive modulation. The proposed algorithm adapts to the changes in channel condition and selects the appropriate modulation and transmits using the optimal transmission power. Simulation results show that the game with pricing provides maximum utility by consuming lesser power.