The resilience of an unmanned aerial vehicle (UAV) swarm is a comprehensive assessment of the system's ability to absorb disturbances and recover from potential threats. However, traditional resilience evaluation methods consider only one type of performance parameter, while different performance parameters present other system characteristics. To comprehensively value the resilience of the UAV swarm, a variety of performance metrics are needed for an integrated evaluation. This paper proposes a comprehensive resilience evaluation method based on multiple performance parameters to give various perspectives on system attributes. Considering few studies on the recovery strategy to resist the SIR virus propagation model of UAV swarm, modeled with complex network theory, a corresponding ISR recovery strategy with four recovery actions is proposed. Finally, the validity of the proposed comprehensive resilience evaluation method and recovery strategy is verified by conducting a simulation study analysis. Moreover, the simulation results of resilience evaluation can guide system design and mission planning.


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    Title :

    Comprehensive Resilience Evaluation Method for UAV Swarm Based on Multiple Performance Parameters


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Deng, Yimin (editor) / Zhang, Zhan (author) / Zhou, Dapeng (author) / Li, Ao (author) / Li, Yan (author)

    Conference:

    International Conference on Guidance, Navigation and Control ; 2022 ; Harbin, China August 05, 2022 - August 07, 2022



    Publication date :

    2023-01-31


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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