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

Qin Sun, Hongxu Li, Yingchao Zhang, Yuxian Xie, Chengyu Liu
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引用次数: 8

Abstract

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.
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基于复杂网络的无人机群弹性基线评估方法*
基于复杂网络的无人机群弹性评估取得了初步进展。然而,评价结果大多以初始性能状态作为评价基准,这是不合理的。当无人机群执行任务时,只要在生命周期内的网络性能足以满足任务要求,就可以认为无人机群具有完成任务所需的弹性。为此,本文提出了一种基于复杂网络的无人机群弹性基线评估方法。首先,研究了基于复杂网络的无人机群弹性基线评估方法。其次,通过仿真验证了基线评估方法的有效性。结果表明,基线评估能够以任务导向的方式有效放宽评估结果,不再以初始状态作为衡量无人机群任务完成情况的标准性能。当无人机群执行任务时,它只需要保持或恢复完成任务所需的弹性。
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