analysis of received signal strength quantization in fingerprinting localization

Clicks: 207
ID: 155521
2020
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Abstract
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.
Reference Key
khandker2020sensorsanalysis Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Syed Khandker;Joaquín Torres-Sospedra;Tapani Ristaniemi
Journal ekonomiczne problemy usług
Year 2020
DOI
10.3390/s20113203
URL
https://www.mdpi.com/1424-8220/20/11/3203
Keywords
fingerprinting quantization

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