针对高纬度平台站(HAPS)网络在提供航空通信服务时所出现的节点计算能力和存储能力较弱等问题,提出了一种多尺度感知的蚁群路由算法.该算法能在高纬度平台站网络中找到源节点与目的节点之间的最短路径,并能满足航空通信服务的性能要求.通过设置不同的仿真实验对算法的性能进行评估,结果表明,该算法能有效降低呼叫阻塞率,提高链路利用率,达到整个网络的负载均衡. Aiming at the problems such as node computing capability and storage capacity appearing in high-altitude platform (HAPS) network when providing air communication services, a multi-scale aware ant colony routing algorithm is proposed, which can be used in high-altitude platform stations Network to find the shortest path between the source node and the destination node, and can meet the performance requirements of the aviation communication service.By setting different simulation experiments to evaluate the performance of the algorithm, the results show that the algorithm can effectively reduce the call blocking rate and improve Link utilization, to achieve the entire network load balancing.