A Baseline Assessment Method of UAV Swarm Resilience Based on Complex Networks

被引:10
|
作者
Sun, Qin [1 ]
Li, Hongxu [1 ]
Zhang, Yingchao [1 ]
Xie, Yuxian [1 ]
Liu, Chengyu [1 ]
机构
[1] Sun Yat Sen Univ, Sch Syst Sci & Engn, Guangzhou, Peoples R China
来源
2021 IEEE 19TH WORLD SYMPOSIUM ON APPLIED MACHINE INTELLIGENCE AND INFORMATICS (SAMI 2021) | 2021年
关键词
baseline assessment; resilience; UAV swarm; complex networks;
D O I
10.1109/SAMI50585.2021.9378640
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Preliminary progress has been made in the assessment of unmanned aerial vehicle (UAV) swarm resilience based on complex networks. However, the evaluation results mostly use the initial performance state as the evaluation baseline, which is unreasonable. When UAV swarm performs a mission, as long as the network performance during the life cycle is sufficient to meet the mission requirements, it can be considered that UAV swarm has the resilience required to complete the mission. Therefore, a baseline assessment method of UAV swarm resilience based on complex networks is proposed in this paper. First, the baseline assessment method of UAV swarm resilience based on complex networks is characterized and investigated. Second, the effectiveness of the baseline assessment method is verified by simulation. The result shows that the baseline evaluation can effectively relax the evaluation result in a mission-oriented manner, and no longer use the initial state as the standard performance to measure the completion of the mission of UAV swarm. When UAV swarm performs a mission, it only needs to maintain or restore the resilience needed to complete the mission.
引用
收藏
页码:83 / 86
页数:4
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