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A Class of Perimeter Defense Strategies Based on Priority Path Planning

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  • Shuang Zhang

    (College of Computer Engineering, Jimei University, Xiamen 361021, China)

  • Chengqian Yang

    (School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China)

  • Shiwei Lin

    (College of Computer Engineering, Jimei University, Xiamen 361021, China)

  • Bomin Huang

    (College of Computer Engineering, Jimei University, Xiamen 361021, China)

Abstract

This paper investigates perimeter defense strategies for multi-agent systems. Considering the complex scenario with multiple obstacles in the mission environment, a defense strategy based on prioritized path planning is proposed in this paper. The strategy employs a minimum weight matching method to solve the optimal task assignment for interception and determines the task priority based on the relative time window. Meanwhile, the swarm path planning is realized using particle swarm optimization with a designed cost function. Compared with the existing literature, the proposed method can handle large-scale agent-based perimeter defense while accounting for inter-defender collision avoidance and obstacle avoidance. The effectiveness of the strategy is verified through simulation in the mission scenario.

Suggested Citation

  • Shuang Zhang & Chengqian Yang & Shiwei Lin & Bomin Huang, 2025. "A Class of Perimeter Defense Strategies Based on Priority Path Planning," Mathematics, MDPI, vol. 13(15), pages 1-20, July.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:15:p:2420-:d:1711221
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