Forced Game Method for Node Selection in Congestion Control of Wireless Sensor Networks
In wireless sensor network,the node data traffic is large and the distribution range is wide,and the node selection optimization calculation is complicated,resulting in wasting a lot of computing power in node selection,and the congestion control effect is not good.A forced game method for node selection in congestion control of wireless sensor networks is proposed.The transmission cost of a single network link is calculated.According to the energy consumption of transmission data,the ratio of available energy of transmission nodes is calculated.On the basis of transmission variable weight value,the actal congestion index of the transmission node is calculated,com-pleting.The packet drop probability of the network connection layer is calculated,the degree of network congestionis determind,and a node selection mandatory game model for the aggregation node data flow is established.The steady-state transmission conditions of the sensor network is clarified,and the traffic normal distribution algorithm is used to make mandatory selection in the node selection game.The simulation analysis proves that the packet delivery rate of the proposed method is kept above 83%,the number of lost packets is kept within 100 pkt/s,and the end-to-end delay of network transmission nodes is within 0.3 s.
万方数据
维普
