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Network approach for resilience evaluation of a UAV swarm by considering communication limits

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  • Bai, Guanghan
  • Li, Yanjun
  • Fang, Yining
  • Zhang, Yun-An
  • Tao, Junyong

Abstract

An unmanned aerial vehicle (UAV) swarm is a group of numerous UAVs performing tasks in a self-organized and self-adaptive manner to achieve an overall mission objective. Currently, the model of a UAV swarm is based on complex networks, where each UAV is represented as a node and each link denotes information exchange between UAVs. However, existing studies do not consider the limited communication range of each UAV. In this study, an improved UAV swarm model is proposed by incorporating the effect of limited communication range into the existing model. A UAV swarm mitigates the effects of possible threats and disruptions via self-adaptation; hence, it is suitable to use resilience to evaluate its performance. An improved resilience metric is proposed based on the difference between the swarm's performance and its standard system performance. A case study is conducted in which a UAV swam is called to implement a surveillance mission. Results and comparisons with extant studies indicate that the proposed model and metric lead to a more realistic method to evaluate the resilience of a UAV swarm. The proposed model and metric can be used to support mission planning and the design of a UAV swarm.

Suggested Citation

  • Bai, Guanghan & Li, Yanjun & Fang, Yining & Zhang, Yun-An & Tao, Junyong, 2020. "Network approach for resilience evaluation of a UAV swarm by considering communication limits," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:reensy:v:193:y:2020:i:c:s0951832019300171
    DOI: 10.1016/j.ress.2019.106602
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    1. Liu, Tao & Bai, Guanghan & Tao, Junyong & Zhang, Yun-An & Fang, Yining, 2024. "A Multistate Network Approach for Resilience Analysis of UAV Swarm considering Information Exchange Capacity," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
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    6. Sun, Qin & Li, Hongxu & Wang, Yuzhi & Zhang, Yingchao, 2022. "Multi-swarm-based cooperative reconfiguration model for resilient unmanned weapon system-of-systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    7. Xu, Bei & Liu, Tao & Bai, Guanghan & Tao, Junyong & Zhang, Yun-an & Fang, Yining, 2022. "A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    8. Liang, Yuanyuan & Xia, Yongxiang & Yang, Xu-Hua, 2022. "Hybrid-radius spatial network model and its robustness analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 591(C).
    9. Fangyu Liu & Hongyan Dui & Ziyue Li, 2022. "Reliability analysis for electrical power systems based on importance measures," Journal of Risk and Reliability, , vol. 236(2), pages 317-328, April.
    10. Feng, Qiang & Liu, Meng & Dui, Hongyan & Ren, Yi & Sun, Bo & Yang, Dezhen & Wang, Zili, 2022. "Importance measure-based phased mission reliability and UAV number optimization for swarm," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    11. Hui Xiao & Kunxiang Yi & Gang Kou & Liudong Xing, 2020. "Reliability of a two‐dimensional demand‐based networked system with multistate components," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(6), pages 453-468, September.
    12. Xu, Bei & Bai, Guanghan & Liu, Tao & Fang, Yining & Zhang, Yun-an & Tao, Junyong, 2023. "An improved swarm model with informed agents to prevent swarm-splitting," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    13. Dui, Hongyan & Zhang, Chi & Bai, Guanghan & Chen, Liwei, 2021. "Mission reliability modeling of UAV swarm and its structure optimization based on importance measure," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    14. Geng, Sunyue & Liu, Sifeng & Fang, Zhigeng, 2022. "A demand-based framework for resilience assessment of multistate networks under disruptions," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    15. Liu, Tao & Bai, Guanghan & Tao, Junyong & Zhang, Yun-An & Fang, Yining & Xu, Bei, 2022. "Modeling and evaluation method for resilience analysis of multi-state networks," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    16. Li, Hongxu & Sun, Qin & Zhong, Yuanfu & Huang, Zhiwen & Zhang, Yingchao, 2023. "A soft resource optimization method for improving the resilience of UAV swarms under continuous attack," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    17. Elena Zaitseva & Vitaly Levashenko & Ravil Mukhamediev & Nicolae Brinzei & Andriy Kovalenko & Adilkhan Symagulov, 2023. "Review of Reliability Assessment Methods of Drone Swarm (Fleet) and a New Importance Evaluation Based Method of Drone Swarm Structure Analysis," Mathematics, MDPI, vol. 11(11), pages 1-26, June.

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