Power control and channel allocation optimization game algorithm with low energy consumption for wireless sensor network**Project supported by the National Natural Science Foundation of China (Grant No. 61403336), the Natural Science Foundation of Hebei Province, China (Grant Nos. F2015203342 and F2015203291), and the Independent Research Project Topics B Category for Young Teacher of Yanshan University, China (Grant No. 15LGB007).

Abstract

In a wireless sensor network (WSN), the energy of nodes is limited and cannot be charged. Hence, it is necessary to reduce energy consumption. Both the transmission power of nodes and the interference among nodes influence energy consumption. In this paper, we design a power control and channel allocation game model with low energy consumption (PCCAGM). This model contains transmission power, node interference, and residual energy. Besides, the interaction between power and channel is considered. The Nash equilibrium has been proved to exist. Based on this model, a power control and channel allocation optimization algorithm with low energy consumption (PCCAA) is proposed. Theoretical analysis shows that PCCAA can converge to the Pareto Optimal. Simulation results demonstrate that this algorithm can reduce transmission power and interference effectively. Therefore, this algorithm can reduce energy consumption and prolong the network lifetime.