Study On Multiple Channel Allocation And Energy Saving Optimization Based On Game For Wsn

Wireless Sensor Network is a multiple hop wireless network system based on the mode of wireless communication. A large number of sensor nodes constitute the network. And the sensor node is tiny, cheap and low power consumption. What’s more, it is suitable to deploy in large observation area. The character of sensor network makes the research on wireless sensor network a hot topic. In recent years, the various kinds of WSN application are springing up constantly due to the development of wireless sensor network technology. In the same geographical areas, the number of the wireless network terminal equipment that using public channel resources increases quickly, which further aggravate communication interference in wireless sensor network. As we all know, multiple channel allocation technique is the essential method to reduce network communication interference. This is because reasonably use the technique can effectively eliminate co-channel interference. But energy of sensor node is limited, so it is important to reduce network energy consumption. Therefore, the study on the WSN multiple channel algorithms and the optimization of energy conservation have important theoretical and scientific significance for promoting the development of WSN. The concrete content is as follows:(1) The relevant basic knowledge of multiple channel allocation optimization and game theory is studied. We analyze the drawbacks of the existing multi-channel algorithms, power control and coexistence environment of wireless network terminal equipment. Then, the effect of node energy and adjacent nodes’ channel spacing on channel allocation is introduced to provide a basis for the multiple channel algorithms and the optimization of energy conservation design.(2) For the growth of wireless network terminal equipment on the same geographical area aggravating WSN communication interference, we make use of multiple channel allocation technology. The influence of the network node residual energy on channel allocation is studied. Then we construct multi-channel allocation model with high energy efficient based on game theory. Based on this model, sensor node is assigned receiving channel to distribute channel switch in the process of communication. We design the multi-channel energy efficient optimization algorithm based on game algorithm. And the algorithm is verified converging to the Nash equilibrium by potential game theory. The theoretical analysis and the simulation results show that this algorithm can effectively improve the performance of anti-interference, and effectively reduce the interference of low energy node to increase the energy efficient.(3) For the issue that large channel spacing will consume more energy in the process of channel switching in wireless communication, we make nodes’ channel spacing as a parameter. And a multi-channel optimizing game model with channel spacing is constructed. Then the potential game is used to prove the existence of Nash equilibrium of the model. Further more, on the basis of the model joint power control and channel allocation algorithm with channel switching energy consumption optimization is designed. The theoretical analysis and simulation results show that the algorithm can reduces the channel spacing on the basic of reducing network interference, and reduce the energy consumption in the process of channel switching.