西安电子科技大学学报（自然科学版）2024，Vol.51Issue(2)：28-45,18.DOI:10.19665/j.issn1001-2400.20230314
面向韧性拓扑构造的无人机集群功率分配策略
UAV swarm power allocation strategy for resilient topology construction
摘要
Abstract
A topology construction method of the Unmanned combat network with strong toughness is proposed for the problem of network performance degradation and network paralysis caused by the failure of the Unmanned combat network itself or interference by enemy attack.The method first takes the edge-connectivity as the toughness indicator of the network;second,the minimum cut is used as the measure of the toughness indicator based on the maximum flow minimum cut(Max-flow min-cut)theorem,on the basis of which considering the limited power of a single UAV and the system,the topology is constructed by means of power allocation to improve the network toughness from the physical layer perspective,and the power allocation strategy of the Unmanned combat network under power constraint is proposed;finally,particle swarm optimization(PSO)algorithm is used to solve the topology toughness optimization problem under the power constraint.Simulation results show that under the same modulation and power constraints,the power allocation scheme based on the PSO algorithm can effectively improve the toughness of the Unmanned combat network compared with other power allocation algorithms in the face of link failure mode and node failure mode,and that the average successful service arrival rate of the constructed network remains above 95%in about 66.7%of link failures,which meets the actual combat requirements.关键词
无人机/韧性/最小割/约束优化Key words
unmanned aerial vehicles/toughness/minimum cut/constrained optimization分类
信息技术与安全科学引用本文复制引用
胡嘉琳,任智源,刘安妮,程文驰,梁晓东,李少波..面向韧性拓扑构造的无人机集群功率分配策略[J].西安电子科技大学学报（自然科学版）,2024,51(2):28-45,18.基金项目
陕西省重点研发计划(2022ZDLGY05-09) （2022ZDLGY05-09）
