• Laser & Optoelectronics Progress
  • Vol. 59, Issue 7, 0728003 (2022)
Pengchen Cai1、2, Damin Zhang1、2、*, Linna Zhang1、2, Dexin Yin1、2, and Weina Qin1、2
Author Affiliations
  • 1College of Big Data and Information Engineering, Guizhou University, Guiyang , Guizhou 550025, China
  • 2College of Mechanical Engineering, Guizhou University, Guiyang , Guizhou 550025China
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    DOI: 10.3788/LOP202259.0728003 Cite this Article Set citation alerts
    Pengchen Cai, Damin Zhang, Linna Zhang, Dexin Yin, Weina Qin. Distance Vector Hop Positioning Based on Double Communication Radius and Improved Gray Wolf Algorithm[J]. Laser & Optoelectronics Progress, 2022, 59(7): 0728003 Copy Citation Text show less
    Example diagram of double communication radius
    Fig. 1. Example diagram of double communication radius
    Network node topology of single communication radius
    Fig. 2. Network node topology of single communication radius
    Network node topology of double communication radius
    Fig. 3. Network node topology of double communication radius
    Average convergence curve of F1 function
    Fig. 4. Average convergence curve of F1 function
    Average convergence curve of F2 function
    Fig. 5. Average convergence curve of F2 function
    Average convergence curve of F3 function
    Fig. 6. Average convergence curve of F3 function
    Average convergence curve of F4 function
    Fig. 7. Average convergence curve of F4 function
    Unknown node error of three positioning algorithms
    Fig. 8. Unknown node error of three positioning algorithms
    Average positioning error under different communication radius
    Fig. 9. Average positioning error under different communication radius
    Average positioning error under different beacon node proportions
    Fig. 10. Average positioning error under different beacon node proportions
    Average positioning error under different total number of nodes
    Fig. 11. Average positioning error under different total number of nodes
    AlgorithmParameter
    Improved GWOa=aint-aint×(1/IMax)
    GWOamax=2,amin=0
    PSOc1=c2=2
    Table 1. Parameters of different algorithms
    FunctionNameDimensionDomainFeatureValue
    F1Sphere60[-5.12,5.12]US0
    F2Schwefel’s Problem 2.22120[-10,10]UN0
    F3Schwefel’s Problem 1.210[-100,100]UN0
    F4Schwefel’s Problem 2.21200[-100,100]US0
    Table 2. Basic information of 4 test functions
    ParameterValue
    Maximum number of iterations200
    Population size100
    Number of iterations100
    Table 3. Parameters of the improved GWO algorithm
    AlgorithmMinimum valueMaximum valueAverage value
    DV-Hop2.41722.97589.806
    PDV-Hop2.03418.34697.324
    GDV-Hop0.06212.27264.732
    Table 4. Positioning error of different algorithms
    Pengchen Cai, Damin Zhang, Linna Zhang, Dexin Yin, Weina Qin. Distance Vector Hop Positioning Based on Double Communication Radius and Improved Gray Wolf Algorithm[J]. Laser & Optoelectronics Progress, 2022, 59(7): 0728003
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