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    此摘要是机器生成的。

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    科学领域:

    • 机器人技术和自主系统
    • 通信工程 通信工程
    • 军事技术 军事技术

    背景情况:

    • 多个无人机 (UAV) 操作对于战场任务至关重要.
    • 在复杂的场景中有效捕获多个目标无人机仍然是一个挑战.

    研究的目的:

    • 提出一种新的紫外线光通信辅助形成无人机联盟捕获算法.
    • 提高无人机形成捕获任务的效率和降低能源消耗.

    主要方法:

    • 整合紫外线光通信,以实现安全的,视线之外的数据传输.
    • 结合联盟生成算法与区域最小化策略.
    • 使用动态编程来确定最佳的联盟结构.

    主要成果:

    • 拟议的算法显示,平均减少了12.73%的能源消耗.
    • 观察到算法代的平均数量减少了27.49%.
    • 在模拟中验证了低能耗和高捕获效率.

    结论:

    • 紫外线光通信显著提高无人机形成捕获能力.
    • 开发的算法为复杂环境中的多目标无人机捕获提供了高效和低能耗的解决方案.