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Invulnerability optimization of UAV formation based on super wires adding strategy

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  • Xu, Jiwei
  • Deng, Zhenghong
  • Ren, Xiaobin
  • Xu, Lin
  • Liu, Dan

Abstract

When multi-UAVs work together to perform tasks, the invulnerability of UAV formation is very important. In this paper, we present a strategy to improve the invulnerability of UAV formation by adding super wires. Firstly, the invulnerability of randomly generated UAV formation is studied, and it is shown that the invulnerability of UAV formation is the worst under dynamic betweenness centrality attack. Secondly, we present an optimized Louvain algorithm to explore the community structure in UAV formation. Finally, according to the intermediate centrality and community structure of UAV formation, we added super wires between specific nodes in the UAV community and the UAV base station. Our experimental simulation shows that the proposed algorithm can effectively reduce the average betweenness centrality of UAV formation, and improve the network efficiency and invulnerability of UAV formation.

Suggested Citation

  • Xu, Jiwei & Deng, Zhenghong & Ren, Xiaobin & Xu, Lin & Liu, Dan, 2020. "Invulnerability optimization of UAV formation based on super wires adding strategy," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    • Handle: RePEc:eee:chsofr:v:140:y:2020:i:c:s0960077920305816
    DOI: 10.1016/j.chaos.2020.110185
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    References listed on IDEAS

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    1. Zhu, Peican & Wang, Xinyu & Li, Shudong & Guo, Yangming & Wang, Zhen, 2019. "Investigation of epidemic spreading process on multiplex networks by incorporating fatal properties," Applied Mathematics and Computation, Elsevier, vol. 359(C), pages 512-524.
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    Cited by:

    1. Gao, Shanshan & Zhang, Shenggui & Chen, Xinzhuang, 2023. "Effects of changing the weights of arcs on the consensus convergence rate of a leader–follower multi-agent system," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    2. Zhao, Xiao-Wen & Deng, Dong-Dong & Ge, Ming-Feng & Liu, Zhi-Wei, 2024. "Neural adaptive predefined-time formation tracking control of multiple Euler–Lagrange systems with switching topologies based on hierarchical mechanism," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).

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