Wi-Fi Fingerprinting for Indoor Positioning

Authors

  • Md. Hossen Ali Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
  • Kamilia Kamardin Department of Electronic Systems Engineering, Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia,
  • Siti Nurhafizza Maidin Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
  • Ngu War Hlaing Malaysia-Japan International Institute of Technology
  • Hazilah Mad Kaidi Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
  • Irfanuddin Shafi Ahmed Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
  • Noureen Taj 4B. S Abdur Rahman Crescent Institute of Science and Technology, Computer Science Engineering, Chennai, India

Keywords:

Global Positioning System, Line of Sight, Indoor positioning systems, WI-FI Fingerprinting

Abstract

Wireless Fidelity (Wi-Fi) Fingerprinting is a remarkable approach developed by modern science to detect the user’s location efficiently. Today, the Global Positioning System (GPS) is used to keep track of our current location for outdoor positioning. In GPS technology, satellite signals cannot reach indoor environments as they are shielded from obstructions so that indoor environments with a lack of Line of Sight (LoS) do not provide enough satellite signal accuracy. Since indoor environments are very difficult to track, thus, a wide variety of techniques for dealing with them have been suggested. The best way to offer an indoor positioning service with the current technology is Wi-Fi since the most commercial infrastructure is well equipped with Wi-Fi routers. For indoor positioning systems (IPS), Wi-Fi fingerprinting approaches are being extremely popular. In this paper, all the approaches for Wi-Fi fingerprinting have been reviewed for indoor position localization. Related to Wi-Fi fingerprinting, most of the algorithms have been interpreted and the previous works of other researchers have been critically analyzed in this paper to get a clear view of the Wi-Fi fingerprinting process.

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Published

29-11-2022

How to Cite

Hossen Ali, M., Kamardin, K. ., Maidin, S. N. ., Hlaing, N. W., Kaidi , H. M. ., Ahmed, I. S. ., & Taj, N. . (2022). Wi-Fi Fingerprinting for Indoor Positioning. International Journal of Integrated Engineering, 14(6), 223–238. Retrieved from https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/9917

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