Web Analytics

Impact of The Number of Light Emitting Diode Towards The Accuracy in Indoor Positioning System Based on Visible Light Communication

  Brian Pamukti (1*), Miftakhul Meiliana Rahmawati (2), Nachwan Mufti Adriansyah (3)

(1) Telkom University - Indonesia - [ https://orcid.org/0000-0003-3824-9306 ]
(2) Telkom University - Indonesia
(3) Telkom University - Indonesia
(*) Corresponding Author

Received: October 02, 2020; Revised: November 25, 2020
Accepted: December 10, 2020; Published: December 31, 2020


How to cite (IEEE): B. Pamukti, M. Rahmawati,  and N. Adriansyah, "Impact of The Number of Light Emitting Diode Towards The Accuracy in Indoor Positioning System Based on Visible Light Communication," Jurnal Elektronika dan Telekomunikasi, vol. 20, no. 2, pp. 70-75, Dec. 2020. doi: 10.14203/jet.v20.70-75

Abstract

This research detects the random position with received signal strength (RSS) method based on the received power in the room with a size of 5×5×3 cubic meter and several numbers of light emitting diode (LEDs). The first scenario uses 4 LEDs, the second scenario uses 6 LEDs and the third scenario uses 8 LEDs. Random points as the detector are placed spread at the room as many as 25 points. The simulation result shows that the use of more LEDs reduces the positioning error and increases the accuracy. If the accuracy reduces, the positioning error increase and affect the detection results. Using 8 LEDs, the number of the detected random point increases 30%, the positioning error is 47%, and the accuracy increase from 33%.  In addition, our research is useful for finding the locations of small items such as sensors that are scattered in a closed room.

  http://dx.doi.org/10.14203/jet.v20.70-75

Keywords


visible light communication; light emitting diode; received signal strength; accuracy; positioning error

Full Text:

  PDF

References


S. Yang, E. Jung and S. Han, “Indoor Location Estimation Based on LED Visible light communication using multiple optical receivers,” IEEE Communications Letters, vol. 17, no. 9, pp. 1834-1837, September 2013. Crossref

H. Lv, L. Feng, A. Yang, P. Guo, H. Huang, and S. Chen, “High accuracy VLC indoor positioning system with differential detection,” IEEE Photonics Journal, vol. 9, no. 3, pp. 1–13, 2017. Crossref

K. Okusa and T. Kamakura, “Indoor location estimation based on the rss method using radial log-normal distribution,” 16th IEEE International Symposium on Computational Intelligence and Informatics (CINTI), 2015, pp. 29–34. Crossref

S. Shawky, M. A. El-Shimy, Z. A. El-Sahn, M. R. Rizk, and M. H. Aly, “Improved VLC-based indoor positioning system using a regression approach with conventional RSS techniques,” in 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC), 2017, pp. 904–909. Crossref

Z. Cui, Y. Wang and X. Fu, “Research on indoor positioning system based on VLC,” 2020 Prognostics and Health Management Conference (PHM-Besançon), 2020, pp. 360-365. Crossref

J. Wang, H. Li, X. Zhang and R. Wu, “VLC-based indoor positioning algorithm combined with OFDM and particle filter,” in China Communications, vol. 16, no. 1, pp. 86-96, Jan. 2019.

O.R.Popoola,S.Sinanovic ́,W.O.Popoola,and R.Ramirez-Iniguez, “Optical boundaries for led-based indoor positioning system,” Computation, vol. 7, no. 1, p. 7, 2019. Crossref

D. Darlis, A. R. Darlis, and M. H. Abibi, “Implementasi sistem penyiaran musik digital di kafe menggunakan visible light communication,” TELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika, vol. 5, no. 1, p. 60, 2017. Crossref

Z. Ghassemlooy, W. Popoola, and S. Rajbhandari, Optical Wireless Communications: System and Channel Modelling with MATLAB®. CRC press, 2019.

C. Wang, L. Wang, X. Chi, S. Liu, W. Shi, and J. Deng, “The research of indoor positioning based on visible light communication,” China Communications, vol. 12, no. 8, pp. 85–92, 2015.


Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Copyright (c) 2020 National Research and Innovation Agency

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.