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Laser & Optoelectronics Progress, Volume. 59, Issue 13, 1306004(2022)

Clustering Optimization Algorithm for Unmanned Aerial Vehicle Formation Based on Ultraviolet Security Communication

Taifei Zhao1,2、*, Kaixin Rong1, Dandan Cao1, and Shuang Zhang1,2
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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    AbstractGet PDF(in Chinese)
    Figures&Tables (13)
    Equations (11)
    References (1)
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    Paper Information
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    Figures & Tables(13)
    Rigid and deformable graphs. (a) Deformable graph; (b) rigid graph; (c) minimum rigid graph

    Fig. 1. Rigid and deformable graphs. (a) Deformable graph; (b) rigid graph; (c) minimum rigid graph

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    Single scattering link model of ultraviolet light

    Fig. 2. Single scattering link model of ultraviolet light

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    Energy consumption model of inter-machine ultraviolet communication

    Fig. 3. Energy consumption model of inter-machine ultraviolet communication

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    Clustering model of the UAV formation

    Fig. 4. Clustering model of the UAV formation

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    Communication link graph of different algorithms. (a) LEACH algorithm; (b) COAORG algorithm

    Fig. 5. Communication link graph of different algorithms. (a) LEACH algorithm; (b) COAORG algorithm

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    Comparison of performance of different algorithms. (a) Number of survival nodes; (b) remaining energy; (c) data transfer amount

    Fig. 6. Comparison of performance of different algorithms. (a) Number of survival nodes; (b) remaining energy; (c) data transfer amount

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    Number of cycles when the first node dies

    Fig. 7. Number of cycles when the first node dies

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    Comparison of network lifetime

    Fig. 8. Comparison of network lifetime

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    COAORG algorithm performance. (a) Survival nodes; (b) remaining energy

    Fig. 9. COAORG algorithm performance. (a) Survival nodes; (b) remaining energy

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    Time of death of the first node at different packet length

    Fig. 10. Time of death of the first node at different packet length

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    Network lifetime of different packet lengths

    Fig. 11. Network lifetime of different packet lengths

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    • Table 1. Generation process of optimal rigid graph

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      Table 1. Generation process of optimal rigid graph

      Algorithm 1：generate the optimal rigidity graph between cluster heads

      Input：location of the cluster head node p，number of cluster head nodes n，maximum UV LED communication radius R

      Output：final set of communication links，the final UV LED communication radius communication radius

      1  calculate the weight of communication links between all cluster head nodes

      2  all links are listed in ascending order by weight

      3  stiffness matrix is established according to the sorting results M

      4  initialize M'，that is M'=M(1)

      5  for1:n(n-1)/2 search all links

      6   whilerank(M')≤2n-3

      7   add the next row of M to M' form a new matrix Mj

      8   ifMj is nonsingular

      9   M'=Mj

      10   record the link corresponding to the row

      11   else delete the row

      12   end

      13   end

      14  end

    • Table 2. Simulation parameter setting

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      Table 2. Simulation parameter setting

      ParameterNumerical value
      Number of nodes n100
      Node initial energy E0/J300
      Send the energy consumption ET/μJ80
      Receive the energy consumption ER/μJ80
      Fusion energy consumption EDA/μJ8
      βT，βR/（°）40
      θT，θR/（°）15
      Weight coefficient0.5
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    Taifei Zhao, Kaixin Rong, Dandan Cao, Shuang Zhang. Clustering Optimization Algorithm for Unmanned Aerial Vehicle Formation Based on Ultraviolet Security Communication[J]. Laser & Optoelectronics Progress, 2022, 59(13): 1306004

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Aug. 4, 2021

    Accepted: Aug. 24, 2021

    Published Online: Jun. 9, 2022

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

    DOI:10.3788/LOP202259.1306004

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology