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Article

Development of a Smartphone-Based University Library Navigation and Information Service Employing Wi-Fi Location Fingerprinting

Department of Geodesy and Geoinformation, TU Wien, 1040 Vienna, Austria
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Author to whom correspondence should be addressed.
Sensors 2021, 21(2), 432; https://doi.org/10.3390/s21020432
Received: 19 November 2020 / Revised: 29 December 2020 / Accepted: 7 January 2021 / Published: 9 January 2021
(This article belongs to the Special Issue Sensors and Systems for Indoor Positioning)
A guidance and information service for a University library based on Wi-Fi signals using fingerprinting as chosen localization method is under development at TU Wien. After a thorough survey of suitable location technologies for the application it was decided to employ mainly Wi-Fi for localization. For that purpose, the availability, performance, and usability of Wi-Fi in selected areas of the library are analyzed in a first step. These tasks include the measurement of Wi-Fi received signal strengths (RSS) of the visible access points (APs) in different areas. The measurements were carried out in different modes, such as static, kinematic and in stop-and-go mode, with six different smartphones. A dependence on the positioning and tracking modes is seen in the tests. Kinematic measurements pose much greater challenges and depend significantly on the duration of a single Wi-Fi scan. For the smartphones, the scan durations differed in the range of 2.4 to 4.1 s resulting in different accuracies for kinematic positioning, as fewer measurements along the trajectories are available for a device with longer scan duration. The investigations indicated also that the achievable localization performance is only on the few meter level due to the small number of APs of the University own Wi-Fi network deployed in the library. A promising solution for performance improvement is the foreseen usage of low-cost Raspberry Pi units serving as Wi-Fi transmitter and receiver. View Full-Text
Keywords: Wi-Fi positioning; navigation; location fingerprinting; RSSI-based positioning; probabilistic approach; information service; book tracking Wi-Fi positioning; navigation; location fingerprinting; RSSI-based positioning; probabilistic approach; information service; book tracking
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MDPI and ACS Style

Retscher, G.; Leb, A. Development of a Smartphone-Based University Library Navigation and Information Service Employing Wi-Fi Location Fingerprinting. Sensors 2021, 21, 432. https://doi.org/10.3390/s21020432

AMA Style

Retscher G, Leb A. Development of a Smartphone-Based University Library Navigation and Information Service Employing Wi-Fi Location Fingerprinting. Sensors. 2021; 21(2):432. https://doi.org/10.3390/s21020432

Chicago/Turabian Style

Retscher, Guenther, and Alexander Leb. 2021. "Development of a Smartphone-Based University Library Navigation and Information Service Employing Wi-Fi Location Fingerprinting" Sensors 21, no. 2: 432. https://doi.org/10.3390/s21020432

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