Game Theoretic Distributed Energy Control in Sensor Networks

Standard wireless sensor networks models emphasize energy efficiency and distributed decisionmaking by considering unattended sensors. Wireless sensor networks are confronted with the challenges of performance and energy consumption. To prolong the lifetime of the sensor networks, a game theoretic energy balance routing (GTEBR) algorithm is proposed. This algorithm aims at the balanceable energy consumption in sensor networks. A game theoretic method presented in this algorithm can make the sensor nodes more rational to take part in the routes by considering the consumption and other factors. Thus, the consumption shares by the whole sensor networks and the energy consumption becomes more even. Finally, the existence of Nash equilibrium in this energy control model is proved. The experiment results show that GTEBR algorithm reduces the consumption of some hot-area nodes and prolong the lifetime of the sensor networks. At the same time, this algorithm has desirable convergence and response.