Laser & Optoelectronics Progress, Volume. 58, Issue 5, 0506001(2021)

Optimally Rigid Formation Generation Algorithm Based on Ultraviolet Optical Communication for UAVs

Taifei Zhao1,2、*, Dandan Cao1, and Qianwen Ma1
Author Affiliations
  • 1Faculty of Automation and Information Engineering, Xi′an University of Technology, Xi′an, Shaanxi 710048, China
  • 2Shaanxi Civil-Military Integration Key Laboratory of Intelligence Collaborative Networks, Xi′an, Shaanxi 710000, China
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    A stable formation communication network can improve the ability for UAV clusters to perform tasks. Therefore, it is necessary to design an information interaction topology that maintains the formation and minimizes communication costs. This research is aimed at optimizing the topology of a UAV formation network by integrating the benefits of ultraviolet optical communication. Thus an optimally rigid formation generation algorithm for UAVs based on ultraviolet communication is proposed. In analyzing the ultraviolet communication link model between UAVs, an ultraviolet hemispherical LED array is used to assist the UAVs in finding their neighbor nodes. This is achieved by first generating an optimal rigid subgraph and then forming a optimal rigid formation graph through the link deletion. Simulation results show that when compared to other algorithms, the proposed algorithm constructs a topology with both an appropriate average node degree and a small communication radius. The proposed algorithm improves the fault tolerance performance of the network, reduces communication complexity and decreases energy consumption of the formation network.

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    Taifei Zhao, Dandan Cao, Qianwen Ma. Optimally Rigid Formation Generation Algorithm Based on Ultraviolet Optical Communication for UAVs[J]. Laser & Optoelectronics Progress, 2021, 58(5): 0506001

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jun. 15, 2020

    Accepted: Jul. 23, 2020

    Published Online: Apr. 19, 2021

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

    DOI:10.3788/LOP202158.0506001

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