Adaptive Modulation and Coding for Lifetime Enhancement of WSN using Game Theoretic Approach

The fundamental component of resource management in Wireless Sensor Network (WSN) is transmitter power control since the sensors are miniature battery powered devices. Power control is an important research trend in WSNs for improving the efficiency of network communication and prolonging the life time of the network thereby supporting system quality and efficiency. This paper analyses a game theoretic model with pricing in which the game is formulated as a utility maximizing distributed power control game considering the residual energy of the nodes along with adaptive modulation. The game approach considered adapts to the changes in channel condition and selects the appropriate modulation and transmits using the optimal transmission power thereby enhancing the network lifetime. Simulation results show that the game with pricing provides maximum utility by consuming lesser power. The adaptive modulation strategy also minimizes the energy consumption and maximizes the network lifetime by selecting the optimal constellation size. Key-Words: game theory; power control; adaptive modulation and coding