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
- 西安电子科技大学学报 2024年51卷第2期 页码：28-45
- 作者机构：
1. 西安电子科技大学 空天地一体化综合业务网全国重点实验室,陕西 西安 710071
2. 中国电子科技集团公司第五十四研究所,河北 石家庄 050081
3. 河北省光子信息技术与应用重点实验室,河北 石家庄 050081
- 作者简介：
[ "胡嘉琳(2000—),女,西安电子科技大学硕士研究生,E-mail:[email protected]; " ]
任智源(1983—),男,教授,E-mail:[email protected]
[ "刘安妮(1994—),女,工程师,E-mail:[email protected]; " ]
[ "程文驰(1986—),男,教授,E-mail:[email protected]; " ]
[ "梁晓东(1988—),男,高级工程师,E-mail:[email protected]; " ]
[ "李少波(1986—),男,高级工程师,E-mail:[email protected]" ]
- 基金信息：陕西省重点研发计划(2022ZDLGY05-09)
DOI：10.19665/j.issn1001-2400.20230314
中图分类号： TN915.01纸质出版日期：2024-4-20，
网络出版日期：2023-9-14，
收稿日期：2023-1-18，
扫 描 看 全 文
胡嘉琳, 任智源, 刘安妮, 等. 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, 2024,51(2):28-45.
Jialin HU, Zhiyuan REN, Anni LIU, et al. UAV swarm power allocation strategy for resilient topology construction[J]. Journal of Xidian University, 2024,51(2):28-45.
胡嘉琳, 任智源, 刘安妮, 等. 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, 2024,51(2):28-45. DOI： 10.19665/j.issn1001-2400.20230314.
Jialin HU, Zhiyuan REN, Anni LIU, et al. UAV swarm power allocation strategy for resilient topology construction[J]. Journal of Xidian University, 2024,51(2):28-45. DOI： 10.19665/j.issn1001-2400.20230314.
摘要
针对无人机作战网络因自身内部故障或受到敌方攻击干扰而造成的网络性能下降及网络瘫痪问题
提出了一种基于功率分配的强韧性无人机作战网络拓扑构造方法。该方法首先以边连通度作为网络的韧性指标;其次
基于最大流最小割定理将最小割作为韧性指标的测度;在此基础上
考虑到单架无人机及系统整体功率有限
从物理层角度出发
通过调节无人机节点的发射功率以构造拓扑
从而提高网络韧性
提出了功率约束下的无人机作战网络功率分配策略;最后
采用粒子群优化算法解决功率约束下的拓扑结构韧性优化问题。仿真结果表明
在相同的调制方式及功率约束下
面对链路失效模式和节点失效模式
对比其它功率分配算法
基于粒子群优化算法得到的功率分配方案能有效提高无人机作战网络韧性
其所构建的网络在约66.7%的链路失效情况下
平均业务成功到达率仍保持在95%以上
满足实际作战需求。
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
Keywords
unmanned aerial vehiclestoughnessminimum cutconstrained optimization
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