RSSI Based Implementation of Indoor Positioning Visible Light Communication System in NS-3

Sheikh, Saad Mehmood; Asif, Hafiz M.; Raahemifar, Kaamran; Kausar, Firdous; Rodrigues, Joel J. P. C.; Mumtaz, Shahid

doi:10.1109/icc42927.2021.9500793

Cited by 3 publications

(1 citation statement)

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“…Among RSS-based VLP systems, some directly use the RSS measurement to calculate the distance between transmitter and receiver [9], [10]. Others exploit the RSS values as location fingerprints to further perform matching algorithms [11], [12].…”

Section: Introductionmentioning

confidence: 99%

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

Wang¹,

Liang²,

Li³

et al. 2022

IEEE Access

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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.INDEX TERMS Visible light positioning (VLP), particle swarm optimization (PSO), received signal strength (RSS), Min-Max algorithm.

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