Indoor Visible Light Positioning Based on Improved Particle Swarm Optimization Method with Min-Max Algorithm

In this paper, an improved particle swarm optimization (IPSO) algorithm is proposed to solve the problem of premature convergence and redundant particles of the original particle swarm optimization (PSO) used in visible light positioning (VLP) systems. In the proposed IPSO algorithm, an adaptive par...

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Bibliographic Details
Published in:IEEE access Vol. 10; p. 1
Main Authors: Wang, ZhenYu, Liang, ZhongHua, Li, XuNuo, Li, Hui
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.01.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Adaptive algorithms
Algorithms
Convergence
Light emitting diodes
Min-Max algorithm
Optical receivers
Optical transmitters
Optical variables control
Particle swarm optimization
particle swarm optimization (PSO)
received signal strength (RSS)
Thermal noise
Visible light positioning (VLP)
ISSN:2169-3536, 2169-3536
Online Access:Get full text
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Summary:In this paper, an improved particle swarm optimization (IPSO) algorithm is proposed to solve the problem of premature convergence and redundant particles of the original particle swarm optimization (PSO) used in visible light positioning (VLP) systems. In the proposed IPSO algorithm, an adaptive particle initialization method based on Min-Max algorithm is used to adjust the number of particles and ensure that there are always particles near the target node (TN). Moreover, a nonlinear decreasing strategy of inertia weight is designed to ensure the stability of particle velocity during the iterative process. Simulation results show that, compared with the original PSO algorithm, the averaged positioning accuracy of the proposed IPSO-Min-Max algorithm is enhanced significantly at the expense of limited time consumption. What's more, we also find that for the proposed IPSO-Min-Max algorithm the increase of particle generation spacing will reduce the positioning delay but with the penalty in positioning accuracy. Therefore, it is necessary to select an appropriate particle spacing value according to specific requirements.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3228543