Flying ad hoc networks are used for many critical tasks. The network formation for routing data becomes difficult because of the mobility of unmanned aerial vehicles (UAVs). To solve the communication issue, we propose an intelligent cluster routing scheme for flying ad hoc networks (CRSF). Cluster head (CH) selection in our proposed methodology is based on fitness, which is determined by the position and UAVs’ residual energy. For the efficient management of UAV swarm, a cluster management mechanism is also proposed, inspired by moth flame optimization. In CRSF, for stable cluster maintenance, a CH re-selection mechanism is proposed in detail, which helps maintain the cluster for effective topology management. A routing mechanism for UAV communication is proposed for CRSF. The route selection for transmission of information is performed using the route identification function based on the Euclidean distance and residual energy. The performance of the proposed CRSF is evaluated and compared with the existing routing algorithms.

飞行自组织网络用于许多关键任务。由于无人机 (UAV) 的移动性，路由数据的网络形成变得困难。为了解决通信问题，我们提出了一种用于飞行自组织网络（CRSF）的智能集群路由方案。我们提出的方法中的簇头 (CH) 选择基于适应度，而适应度由位置和无人机的剩余能量决定。针对无人机群的高效管理，受飞蛾火焰优化的启发，还提出了一种集群管理机制。在CRSF中，为了稳定集群维护，详细提出了CH重选机制，有助于维护集群进行有效的拓扑管理。针对CRSF提出了一种无人机通信路由机制。使用基于欧几里德距离和剩余能量的路由识别函数来执行用于信息传输的路由选择。对所提出的 CRSF 的性能进行了评估，并与现有的路由算法进行了比较。