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Open AccessArticle

Analysis of Received Signal Strength Quantization in Fingerprinting Localization

1
Faculty of Information Technology, University of Jyväskylä, Mattilanniemi 2, 40014 Jyväskylä, Finland
2
Institute of New Imaging Technologies, Universitat Jaume I, Av. Vicente Sos Baynat s/n, 12071 Castellón de la Plana, Spain
3
UBIK Geospatial Solutions, Av. Vicente Sos Baynat s/n, 12071 Castellón de la Plana, Spain
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(11), 3203; https://doi.org/10.3390/s20113203
Received: 17 May 2020 / Revised: 30 May 2020 / Accepted: 2 June 2020 / Published: 4 June 2020
(This article belongs to the Special Issue Novel Applications of Positioning Systems and Sensors)
In recent times, Received Signal Strength (RSS)-based Wi-Fi fingerprinting localization has become one of the most promising techniques for indoor localization. The primary aim of RSS is to check the quality of the signal to determine the coverage and the quality of service. Therefore, fine-resolution RSS is needed, which is generally expressed by 1-dBm granularity. However, we found that, for fingerprinting localization, fine-granular RSS is unnecessary. A coarse-granular RSS can yield the same positioning accuracy. In this paper, we propose quantization for only the effective portion of the signal strength for fingerprinting localization. We found that, if a quantized RSS fingerprint can carry the major characteristics of a radio environment, it is sufficient for localization. Five publicly open fingerprinting databases with four different quantization strategies were used to evaluate the study. The proposed method can help to simplify the hardware configuration, enhance security, and save approximately 40–60% storage space and data traffic. View Full-Text
Keywords: fingerprinting; quantization; indoor positioning fingerprinting; quantization; indoor positioning
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MDPI and ACS Style

Khandker, S.; Torres-Sospedra, J.; Ristaniemi, T. Analysis of Received Signal Strength Quantization in Fingerprinting Localization. Sensors 2020, 20, 3203. https://doi.org/10.3390/s20113203

AMA Style

Khandker S, Torres-Sospedra J, Ristaniemi T. Analysis of Received Signal Strength Quantization in Fingerprinting Localization. Sensors. 2020; 20(11):3203. https://doi.org/10.3390/s20113203

Chicago/Turabian Style

Khandker, Syed; Torres-Sospedra, Joaquín; Ristaniemi, Tapani. 2020. "Analysis of Received Signal Strength Quantization in Fingerprinting Localization" Sensors 20, no. 11: 3203. https://doi.org/10.3390/s20113203

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