WiFi Positioning Based on PSO in 3GPP Indoor Environments 


Vol. 46,  No. 9, pp. 1440-1448, Sep.  2021
10.7840/kics.2021.46.9.1440


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  Abstract

The 4th Industrial Revolution is progressing around the world, and core technologies include AI (Artificial Intelligence), IoT (Internet of Things), and big data. Convergence of these technologies can be efficiently applied to the navigation field. For outdoor environments, relatively accurate positioning is possible with the development of GPS (Global Positioning System) technology. However, in an indoor environment where numerous walls and obstacles exist, there is a limitation in applying GPS technology due to radio wave loss. Therefore, in this paper, we propose an indoor positioning scheme using PSO (Particle Swarm Optimization), an intelligent particle algorithm. The core technology of the proposed scheme can achieve high positioning accuracy and fast convergence speed by limiting the initial search area of the existing PSO algorithm. The scheme used in this paper are as follows. First, in the offline step, a fingerprinting scheme is used to measure a RSSI (Received Signal Strength Indicator) value for a sample point, and a fingerprinting database is constructed. In the online step, a weighted fuzzy matching algorithm is performed between the RSSI value measured at the actual user"s location and the fingerprinting database value, and the four sample points closest to the user"s location are selected. The selected four sample points are connected with a line to limit the initial search area of the PSO algorithm. Through simulation, it was confirmed that the proposed scheme achieved the highest positioning accuracy performance compared to the previously used technique.

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  Cite this article

[IEEE Style]

S. H. Oh and J. G. Kim, "WiFi Positioning Based on PSO in 3GPP Indoor Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 9, pp. 1440-1448, 2021. DOI: 10.7840/kics.2021.46.9.1440.

[ACM Style]

Sung Hyun Oh and Jeong Gon Kim. 2021. WiFi Positioning Based on PSO in 3GPP Indoor Environments. The Journal of Korean Institute of Communications and Information Sciences, 46, 9, (2021), 1440-1448. DOI: 10.7840/kics.2021.46.9.1440.

[KICS Style]

Sung Hyun Oh and Jeong Gon Kim, "WiFi Positioning Based on PSO in 3GPP Indoor Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 9, pp. 1440-1448, 9. 2021. (https://doi.org/10.7840/kics.2021.46.9.1440)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880