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

Multi-Priority Dynamic Threshold Algorithm for Swarm Unmanned Aerial Vehicle Ad Hoc Network Access Protocol

针对蜂群无人机自组网中存在的数据传输低可靠性以及高时延等问题,提出了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。首先,分析数据帧在无线信道中的传输过程,利用各优先级的数据发送概率求得各优先级的数据传输成功率;其次,提出了一种改进的信道满载阈值计算方法,当信道环境发生变化时能够稳定数据的传输并降低时延;最后,通过依次调整各优先级阈值,维持整体信道处在满载阈值水平,保证了最高优先级队列的高传输成功率与低传输时延,有效地提高了整体蜂群无人机自组网的性能。仿真结果表明:在不同业务量接入的情况下,所提协议能够保持各优先级数据的高传输成功率、低时延和高吞吐量传输,传输成功率比基于业务量统计的多优先级接入协议提升了14.2%,并在最高优先级数据传输成功率、端到端时延以及吞吐量等方面具有较大的优势。

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 are 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.