Qin Sun, Hongxu Li, Yingchao Zhang, Yuxian Xie, Chengyu Liu
{"title":"基于复杂网络的无人机群弹性基线评估方法*","authors":"Qin Sun, Hongxu Li, Yingchao Zhang, Yuxian Xie, Chengyu Liu","doi":"10.1109/SAMI50585.2021.9378640","DOIUrl":null,"url":null,"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.","PeriodicalId":402414,"journal":{"name":"2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A Baseline Assessment Method of UAV Swarm Resilience Based on Complex Networks*\",\"authors\":\"Qin Sun, Hongxu Li, Yingchao Zhang, Yuxian Xie, Chengyu Liu\",\"doi\":\"10.1109/SAMI50585.2021.9378640\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":402414,\"journal\":{\"name\":\"2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAMI50585.2021.9378640\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMI50585.2021.9378640","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Baseline Assessment Method of UAV Swarm Resilience Based on Complex Networks*
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.