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    This study introduces an ultraviolet (UV) light communication-assisted algorithm for unmanned aerial vehicle (UAV) formations to capture multiple targets efficiently. The new method enhances data security and reduces energy consumption during complex battlefield operations.

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    Area of Science:

    • Robotics and Autonomous Systems
    • Communication Engineering
    • Military Technology

    Background:

    • Multi-unmanned aerial vehicle (UAV) operations are crucial for battlefield tasks.
    • Efficiently capturing multiple target UAVs in complex scenarios remains a challenge.

    Purpose of the Study:

    • To propose a novel UV light communication-assisted formation UAV alliance capture algorithm.
    • To enhance the efficiency and reduce the energy consumption of UAV formation capture missions.

    Main Methods:

    • Integration of UV light communication for secure, non-line-of-sight data transmission.
    • Combination of alliance generation algorithm with region minimization strategy.
    • Utilizing dynamic programming to determine optimal alliance structures.

    Main Results:

    • The proposed algorithm demonstrated a 12.73% average reduction in energy consumption.
    • A 27.49% decrease in the average number of algorithm iterations was observed.
    • Verified low energy consumption and high capture efficiency in simulations.

    Conclusions:

    • UV light communication significantly enhances UAV formation capture capabilities.
    • The developed algorithm offers an efficient and low-energy solution for multi-target UAV capture in complex environments.