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.
To solve the problems of weak computing and storage capacity of nodes while providing aero- nautical communication services, a multiple metrics aware ant routing algorithm for high altitude platform station (HAPS) networks is presented. The proposed routing algorithm works to find the shortest path from source to destination in HAPS networks, and satisfies the requirements of services. Many simulations have been performed. It is shown that the proposed algorithm is capable of reducing call blocking proba- bility and better link utilization achieving traffic load balance.