Electronics Optics & Control, Volume. 32, Issue 7, 13(2025)

Multi-UAV Cooperative Search Decision Based on Network Connectivity and Dung Beetle Optimization

LUO Lianyong, CHEN Shiyun, WANG Xiaofang, and YIN Shi
Author Affiliations
  • Faculty of Civil Aviation and Aeronautics,Kunming University of Science and Technology,Kunming 650000,China
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    To address the network connectivity issue in multi-UAV collaborative search,a collaborative search decision method incorporating network connectivity and Dung Beetle Optimization (DBO) is designed. Firstly,a novel probabilistic map updating strategy is established by simulating the target's decision state transition process using a Markov chain.To improve environmental certainty and reduce redundant searches,a certainty map and a digital pheromone map are introduced.Secondly,a real-time search objective function is constructed by combining search efficiency and the established minimum spanning tree network topology.The DBO enhanced with dynamic critical factors and adaptive t-distribution is then used to plan the optimal search paths for the UAVs.Finally,simulation results show that the proposed network topology improves target search efficiency by 17.84%.The proposed algorithm outperforms comparative algorithms in terms of coverage stability and convergence accuracy.

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    LUO Lianyong, CHEN Shiyun, WANG Xiaofang, YIN Shi. Multi-UAV Cooperative Search Decision Based on Network Connectivity and Dung Beetle Optimization[J]. Electronics Optics & Control, 2025, 32(7): 13

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    Paper Information

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    Received: May. 10, 2024

    Accepted: Jul. 11, 2025

    Published Online: Jul. 11, 2025

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2025.07.003

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