Study On Resource Optimization Algorithm Based On Game For Wireless Sensor Netwrok

Wireless Sensor Network(WSN)is a new type of wireless communication network,which is widely used in various fields.There are a large number of sensor nodes in the network.WSN becomes a hot topic in the research field because of its low cost?high accuracy?wide coverage area and so on.But the network resource is limited.Aiming at this problem,how to optimize network resource to improve the utilization of resource becomes the key issue in the study of WSN.Power control technology can realize the resource optimization of energy consumption.With the development of WSN technology,the wireless terminal equipment is increasing.Channel allocation technology becomes an effective way to optimize network spectrum resource.Hence,the study on jointing power control and channel allocation resource optimization algorithm has important theoretical and scientific significance for practical application of WSN.The concrete content is as follows:(1)According to the imbalanced energy of nodes in the network,we analyze the influence of nodes' power and channel on energy and interference.Then an energy-balanced resource optimization game model for WSN is constructed.Based on this model,we design a resource optimization algorithm based on energy-balanced game model,which allocates the best power and channel for nodes using the interaction relationship between power and channel.Finally,the rationality of this algorithm is proved through theoretical analysis and simulation results.(2)Aiming at the problem that the network capacity decreases with the increasing interference in WSN,a resource optimization game model for capacity and transmission energy consumption is constructed which considers the limitation of network energy.This game model contains the network capacity and the energy consumption of data transmission in the network.Theoretical analysis proves the existence of the optimal power and the optimal channel.Based on the model,a resource optimization algorithm for capacity and transmission energy consumption is proposed,which adopts the best response strategy.Finally,Simulation results show this algorithm can reduce the interference and the energy consumption,which increases the network capacity.