Researching | Distance Vector Hop Positioning Based on Double Communication Radius and Improved Gray Wolf Algorithm

Laser & Optoelectronics Progress, Volume. 59, Issue 7, 0728003(2022)

Distance Vector Hop Positioning Based on Double Communication Radius and Improved Gray Wolf Algorithm

Pengchen Cai^1,2, Damin Zhang^1,2、*, Linna Zhang^1,2, Dexin Yin^1,2, and Weina Qin^1,2

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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Figures&Tables (15)

References (15)

Paper Information

Figures & Tables(15)

Fig. 1. Example diagram of double communication radius

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Fig. 2. Network node topology of single communication radius

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Fig. 3. Network node topology of double communication radius

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Fig. 4. Average convergence curve of F₁ function

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Fig. 5. Average convergence curve of F₂ function

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Fig. 6. Average convergence curve of F₃ function

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Fig. 7. Average convergence curve of F₄ function

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Fig. 8. Unknown node error of three positioning algorithms

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Fig. 9. Average positioning error under different communication radius

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Fig. 10. Average positioning error under different beacon node proportions

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Fig. 11. Average positioning error under different total number of nodes

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Table 1. Parameters of different algorithms
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Table 1. Parameters of different algorithms
Algorithm Parameter
Improved GWO $a = a_{i n t} - a_{i n t} \times (1 / I_{M a x})$
GWO $a_{m a x} = 2, a_{m i n} = 0$
PSO $c_{1} = c_{2} = 2$

Table 2. Basic information of 4 test functions

Table 2. Basic information of 4 test functions

Function	Name	Dimension	Domain	Feature	Value
$F_{1}$	Sphere	60	［-5.12，5.12］	US	0
$F_{2}$	Schwefel’s Problem 2.22	120	［-10，10］	UN	0
$F_{3}$	Schwefel’s Problem 1.2	10	［-100，100］	UN	0
$F_{4}$	Schwefel’s Problem 2.21	200	［-100，100］	US	0

Table 3. Parameters of the improved GWO algorithm
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Table 3. Parameters of the improved GWO algorithm
Parameter Value
Maximum number of iterations 200
Population size 100
Number of iterations 100

Table 4. Positioning error of different algorithms
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Table 4. Positioning error of different algorithms
Algorithm Minimum value Maximum value Average value
DV-Hop 2.417 22.9758 9.806
PDV-Hop 2.034 18.3469 7.324
GDV-Hop 0.062 12.2726 4.732

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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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Paper Information

Category: Remote Sensing and Sensors

Received: Jul. 14, 2021

Accepted: Aug. 30, 2021

Published Online: Apr. 11, 2022

The Author Email: Damin Zhang (1203813362@qq.com)

DOI:10.3788/LOP202259.0728003

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology