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Open AccessArticle

Implementation of Wi-Fi Signal Sampling on an Android Smartphone for Indoor Positioning Systems

Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan 32023, Taiwan
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(1), 3; https://doi.org/10.3390/s18010003
Received: 24 November 2017 / Revised: 15 December 2017 / Accepted: 18 December 2017 / Published: 21 December 2017
(This article belongs to the Special Issue Smartphone-based Pedestrian Localization and Navigation)
Collecting and maintaining radio fingerprint for wireless indoor positioning systems involves considerable time and labor. We have proposed the quick radio fingerprint collection (QRFC) algorithm which employed the built-in accelerometer of Android smartphones to implement step detection in order to assist in collecting radio fingerprints. In the present study, we divided the algorithm into moving sampling (MS) and stepped MS (SMS), and describe the implementation of both algorithms and their comparison. Technical details and common errors concerning the use of Android smartphones to collect Wi-Fi radio beacons were surveyed and discussed. The results of signal sampling experiments performed in a hallway measuring 54 m in length showed that in terms of the amount of time required to complete collection of access point (AP) signals, static sampling (SS; a traditional procedure for collecting Wi-Fi signals) took at least 2 h, whereas MS and SMS took approximately 150 and 300 s, respectively. Notably, AP signals obtained through MS and SMS were comparable to those obtained through SS in terms of the distribution of received signal strength indicator (RSSI) and positioning accuracy. Therefore, MS and SMS are recommended instead of SS as signal sampling procedures for indoor positioning algorithms. View Full-Text
Keywords: indoor positioning system; quick radio fingerprint collection; neighboring vertices averaging; Wi-Fi indoor positioning system; quick radio fingerprint collection; neighboring vertices averaging; Wi-Fi
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MDPI and ACS Style

Liu, H.-H.; Liu, C. Implementation of Wi-Fi Signal Sampling on an Android Smartphone for Indoor Positioning Systems. Sensors 2018, 18, 3.

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