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
相关论文
共 50 条
  • [41] Resilience centrality in complex networks
    Zhang, Yongtao
    Shao, Cunqi
    He, Shibo
    Gao, Jianxi
    PHYSICAL REVIEW E, 2020, 101 (02)
  • [42] Advances on the Resilience of Complex Networks
    Giannoccaro, Ilaria
    Albino, Vito
    Nair, Anand
    COMPLEXITY, 2018,
  • [43] Reinforcing the resilience of complex networks
    Costa, LD
    PHYSICAL REVIEW E, 2004, 69 (06)
  • [44] Robustness and resilience of complex networks
    Artime, Oriol
    Grassia, Marco
    De Domenico, Manlio
    Gleeson, James P.
    Makse, Hernan A.
    Mangioni, Giuseppe
    Perc, Matjaz
    Radicchi, Filippo
    NATURE REVIEWS PHYSICS, 2024, 6 (02) : 114 - 131
  • [45] Robustness and resilience of complex networks
    Oriol Artime
    Marco Grassia
    Manlio De Domenico
    James P. Gleeson
    Hernán A. Makse
    Giuseppe Mangioni
    Matjaž Perc
    Filippo Radicchi
    Nature Reviews Physics, 2024, 6 : 114 - 131
  • [46] Reinforcing the resilience of complex networks
    Costa, Luciano Da Fontoura
    Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 2004, 69 (6 2): : 066127 - 1
  • [47] Resilience-based Component Importance Measures for Complex Networks
    Zhang, Yanbo
    Kang, Rui
    Li, Ruiying
    Yang, Chenxuan
    Yang, Yi
    2016 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHENGDU), 2016,
  • [48] Research on Coverage Method of UAV Based on Complex Boundary Area
    Lu Yang
    Yu Jia-bin
    Zhao Zhi-yao
    Xu Ji-ping
    Cui Xiao-yu
    Chen Yang
    2024 14TH ASIAN CONTROL CONFERENCE, ASCC 2024, 2024, : 274 - 279
  • [49] Comprehensive resilience assessment of bridge networks using ensemble learning method
    Yang, Guojun
    Wu, Dongxu
    Mao, Jianbo
    Du, Yongfeng
    ADVANCES IN ENGINEERING SOFTWARE, 2024, 198
  • [50] Risk Assessment Approach for EM Resilience in Complex Systems Using Bayesian Networks
    Devaraj, Lokesh
    Ruddle, Alastair R.
    Duffy, Alistair P.
    Martin, Anthony J. M.
    2021 JOINT IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY, SIGNAL & POWER INTEGRITY, AND EMC EUROPE (EMC+SIPI AND EMC EUROPE), 2021, : 760 - 764