Literature DB >> 33435400

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

Guenther Retscher1, Alexander Leb1.   

Abstract

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.

Entities:  

Keywords:  RSSI-based positioning; Wi-Fi positioning; book tracking; information service; location fingerprinting; navigation; probabilistic approach

Year:  2021        PMID: 33435400     DOI: 10.3390/s21020432

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Advanced Sensors and Systems Technologies for Indoor Positioning.

Authors:  Riccardo Carotenuto; Demetrio Iero; Massimo Merenda
Journal:  Sensors (Basel)       Date:  2022-05-10       Impact factor: 3.847

2.  Comparison of Direct Intersection and Sonogram Methods for Acoustic Indoor Localization of Persons.

Authors:  Dominik Jan Schott; Addythia Saphala; Georg Fischer; Wenxin Xiong; Andrea Gabbrielli; Joan Bordoy; Fabian Höflinger; Kai Fischer; Christian Schindelhauer; Stefan Johann Rupitsch
Journal:  Sensors (Basel)       Date:  2021-06-29       Impact factor: 3.576

  2 in total

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