面向蜂群无人机自组网接入协议的 多优先级动态阈值算法

To tackle the defects existing in the swarm unmanned aerial vehicle (UAV) ad hoc network, including the low transmission success rate and high delay, a multi-priority dynamic threshold algorithm for the swarm UAV ad hoc network access protocol was proposed in this study. Firstly, the transmission process of data frame in wireless channel was analyzed, and the data transmission probability of each priority was calculated and used to further obtain each priority success rate of data transmission. Then, an improved strategy to calculate the channel full load threshold was proposed, and the data can be transmitted stably with reduced delay even when channel environment changed. Finally, each priority threshold was adjusted successively to maintain the overall channel at the full load threshold level, which ensures the high transmission success rate and low transmission delay of the highest priority queue, and effectively improves the overall performance of the swarm UAV ad hoc network. The simulation results showed that the proposed protocol can maintain high transmission success rate, low time delay and high throughput when different service volumes arc accessed. Compared with existing methods, the proposed protocol was 14. 2% higher than TSMP-MAC protocol in terms of the transmission success rate and had greater advantages in the success rate of the highest priority data transmission, time delay and throughput.