一种基于高动态无人机群的TDMA时隙调度策略

为了满足高动态无人机群自组网在网络拓扑频繁变化下快速传输高优先级业务的需求，提出一种基于TDMA协议的动态优先级时隙分配算法。根据节点优先级级别，在TDMA协议框架下提出面向不同业务需求的动态时隙分配算法，采用位向量（BOV）间接确认法实现节点时隙分配；并通过多维度调整策略，综合业务优先级、邻居节点数量、邻居节点变化率和等待时间多个维度确定节点优先级，均衡不同优先级节点对不同数量时隙的申请；最后通过仿真实验对调度策略进行了验证。结果表明，提出的动态优先级时隙分配算法（DP-TDMA）在拓扑频繁变化时可以动态申请、快速分配不同数量的业务时隙，满足对多种业务传输需求；在一定程度上降低了高动态下网络拓扑变化的影响，提高了协议的公平性与稳定性，保证了高优先级信息快速传输，提高了网络的吞吐量。所设计的DP-TDMA算法可应用在高动态无人机群自组网场景中，为网络时隙资源分配提供参考。

A TDMA slot scheduling strategy based on high dynamic unmanned aerial vehicle cluster

In order to meet the demand of fast transmission of high priority services in highly dynamic UAV cluster ad hoc networks with frequent changes in network topology, a dynamic priority slot allocation algorithm based on TDMA protocol was proposed. According to the node priority level, a dynamic slot allocation algorithm for different service requirements was proposed under the TDMA protocol framework, and the bit of vector (BOV) indirect confirmation method was used to achieve node slot allocation; Through a multi-dimensional adjustment strategy, the node priority was determined by integrating multiple dimensions such as data priority, number of neighbor nodes, change rate of neighbor nodes, and waiting time, to balance the applications of different priority nodes for different number of timeslots; Finally, the scheduling strategy was validated through simulation experiments. The results show that the DP-TDMA can dynamically apply for and quickly allocate different numbers of traffic slots when the topology changes frequently, meeting the transmission requirements for multiple services; To a certain extent, it reduces the impact of network topology changes under high dynamic conditions, improves the fairness and stability of the protocol, ensures rapid transmission of high priority information, and improves network throughput. The DP-TDMA can be applied in highly dynamic UAV cluster ad hoc networks, providing a reference for network slot resource allocation.