贵州师范大学大数据与计算机科学学院, 贵州 贵阳 550025
曾坤(2000- ),男,贵州师范大学大数据与计算机科学学院硕士生,主要研究方向为嵌入式系统、无人机自组织网络、AI。
胡波(1980- ),男,贵州师范大学大数据与计算机科学学院副教授,主要研究方向为嵌入式系统、AI、模糊系统。
收稿:2025-11-10,
修回:2026-01-24,
录用:2026-01-26,
纸质出版:2026-05-20
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曾坤,胡波.基于CPO算法的FANET路由优化方法[J].电信科学,2026,42(05):155-168.
Zeng Kun,Hu Bo.FANET routing optimization method based on CPO algorithm[J].Telecommunications Science,2026,42(05):155-168.
曾坤,胡波.基于CPO算法的FANET路由优化方法[J].电信科学,2026,42(05):155-168. DOI: 10.11959/j.issn.1000-0801.DXKX250661.
Zeng Kun,Hu Bo.FANET routing optimization method based on CPO algorithm[J].Telecommunications Science,2026,42(05):155-168. DOI: 10.11959/j.issn.1000-0801.DXKX250661.
在飞行自组网(flying Ad Hoc network,FANET)环境中,节点具有高速移动性,容易导致网络拓扑结构变化频繁。针对高速移动状态下的飞行自组网路由协议最优路径选择问题,提出一种将中华穿山甲优化(CPO)算法应用于FANET实现路由优化方案。该方案通过模拟穿山甲的觅食行为,构建适用于FANET场景的路由智能决策机制。仿真结果表明,与传统路由协议相比较,CPO算法在节点高速移动和高密度部署场景下,仍能保持较高的分组投递率和较低的端到端时延,表现出对高动态FANET环境的良好适应性。
In the flying Ad Hoc network (FANET) environment
nodes exhibit high mobility
which easily leads to frequent changes in network topology. To address the optimal path selection problem of routing protocols in flying Ad Hoc networks under high-speed mobility conditions
a routing optimization scheme that applied the Chinese pangolin optimization (CPO) algorithm to FANET was proposed. An intelligent routing decision-making mechanism suitable for FANET scenarios was constructed by simulating the foraging behavior of pangolins. Simulation results demonstrate that compared with traditional routing protocols
the CPO algorithm can still maintain a high packet delivery ratio and low end-to-end delay in scenarios with high-speed node mobility and high-density deployment
exhibiting good adaptability to highly dynamic FANET environments and being suitable for flying Ad Hoc networks in high-dynamic environments.
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