Highly Reliable UAV Clustering Routing Protocol Based on FOA
A highly reliable UAV clustering routing protocol(HCRFA)based on fruit fly optimization algorithm(FOA)is proposed to address the problem of the lack of reliable end-to-end communication paths between node terminals in complex UAV swarm environments.Firstly,by improving the classic weighted clustering algorithm,the cluster head and cluster size are determined using node motion direction,average node distance,and remaining energy of nodes,and cluster entry rules and maintenance rules are designed.Secondly,intra cluster routing mecha-nisms is designed based on hop count,geographic location and other information,while routing mechanism between nodes in different clusters is designed by using biomimetic cluster optimization algorithm.Finally,simulation exper-iments on the protocol using NS-3 is conducted.The experimental results show that compared with the planar rou-ting protocol,the classical weighted clustering routing combined with greedy perimeter stateless routing protocol,and the improved delay-tolerant network clustering routing protocol,the packet arrival rate and network overhead of HCRFA are improved,and the cluster structure is more stable.
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