Laser & Optoelectronics Progress, Volume. 60, Issue 15, 1506006(2023)

Ultraviolet Unmanned Aerial Vehicle Alliance Round-Up Algorithm Collaborative Formation

Taifei Zhao1,2、*, Yi Zhao1, Yang Liu1, and Wen Zhang1
Author Affiliations
  • 1Faculty of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, Shaanxi, China
  • 2Shaanxi Civil-Military Integration Key Laboratory of Intelligence Collaborative Networks, Xi'an 710000, Shaanxi, China
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    It is one of the most important and typical tasks for formation unmanned aerial vehicle (UAV) to round-up target UAV in multi-UAV battlefield operations. This study combines wireless ultraviolet (UV) communication technology with round-up algorithms and proposes a UV unmanned aerial vehicle alliance round-up algorithm collaborative formation. With the help of wireless UV assisted UAV formation, data confidentiality transmission, and nondirect-looking communication, the algorithm integrates alliance generation algorithm with the regional minimization strategy. The dynamic programming method is then used to solve the optimal alliance structure. Meanwhile, the area minimization strategy is employed to implement the target UAV aerial round-up, and the efficient UAV formation round-up multitarget task in complex scenarios is completed. The simulation comparison shows that the proposed UV collaborative formation UAV alliance round-up algorithm reduces both energy consumption by an average of 12.73% in the UAV formation multitarget round-up process and algorithm iterations by 27.49% than the regional minimization strategy. Therefore, this verifies the plausibility of algorithm performance with low energy consumption and high round-up efficiency.

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    Taifei Zhao, Yi Zhao, Yang Liu, Wen Zhang. Ultraviolet Unmanned Aerial Vehicle Alliance Round-Up Algorithm Collaborative Formation[J]. Laser & Optoelectronics Progress, 2023, 60(15): 1506006

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jul. 14, 2022

    Accepted: Aug. 15, 2022

    Published Online: Aug. 11, 2023

    The Author Email: Zhao Taifei (zhaotaifei@163.com)

    DOI:10.3788/LOP222071

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