重庆科技大学学报（自然科学版）2024，Vol.26Issue(5)：58-64,7.DOI:10.19406/j.issn.2097-4531.2024.05.009
基于改进果蝇算法的高可靠无人机分簇路由协议
Highly Reliable UAV Clustering Routing Protocol Based on FOA
摘要
Abstract
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.关键词
无人机集群/果蝇算法/加权分簇算法/NS-3Key words
UAV swarm/FOA/weighted clustering algorithm/NS-3分类
信息技术与安全科学引用本文复制引用
袁学松..基于改进果蝇算法的高可靠无人机分簇路由协议[J].重庆科技大学学报（自然科学版）,2024,26(5):58-64,7.基金项目
2021年安徽省高校自然科学重点项目"面向隐私保护的移动群智感知智能绿波控制方法研究"(KJ2021A1521) （KJ2021A1521）
