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

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Listed:
  • 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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    References listed on IDEAS

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    1. Ouyang, Min & Wang, Zhenghua, 2015. "Resilience assessment of interdependent infrastructure systems: With a focus on joint restoration modeling and analysis," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 74-82.
    2. Hosseini, Seyedmohsen & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "A review of definitions and measures of system resilience," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 47-61.
    3. Tran, Huy T. & Balchanos, Michael & Domerçant, Jean Charles & Mavris, Dimitri N., 2017. "A framework for the quantitative assessment of performance-based system resilience," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 73-84.
    4. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 1999. "Mean-field theory for scale-free random networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 272(1), pages 173-187.
    5. Henry, Devanandham & Emmanuel Ramirez-Marquez, Jose, 2012. "Generic metrics and quantitative approaches for system resilience as a function of time," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 114-122.
    6. Nan, Cen & Sansavini, Giovanni, 2017. "A quantitative method for assessing resilience of interdependent infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 35-53.
    7. Labaka, Leire & Hernantes, Josune & Sarriegi, Jose M., 2015. "Resilience framework for critical infrastructures: An empirical study in a nuclear plant," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 92-105.
    Full references (including those not matched with items on IDEAS)

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