Cargando…
Development of a Smartphone-Based University Library Navigation and Information Service Employing Wi-Fi Location Fingerprinting
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....
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827143/ https://www.ncbi.nlm.nih.gov/pubmed/33435400 http://dx.doi.org/10.3390/s21020432 |
_version_ | 1783640691080953856 |
---|---|
author | Retscher, Guenther Leb, Alexander |
author_facet | Retscher, Guenther Leb, Alexander |
author_sort | Retscher, Guenther |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7827143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78271432021-01-25 Development of a Smartphone-Based University Library Navigation and Information Service Employing Wi-Fi Location Fingerprinting Retscher, Guenther Leb, Alexander Sensors (Basel) Article 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. MDPI 2021-01-09 /pmc/articles/PMC7827143/ /pubmed/33435400 http://dx.doi.org/10.3390/s21020432 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Retscher, Guenther Leb, Alexander Development of a Smartphone-Based University Library Navigation and Information Service Employing Wi-Fi Location Fingerprinting |
title | Development of a Smartphone-Based University Library Navigation and Information Service Employing Wi-Fi Location Fingerprinting |
title_full | Development of a Smartphone-Based University Library Navigation and Information Service Employing Wi-Fi Location Fingerprinting |
title_fullStr | Development of a Smartphone-Based University Library Navigation and Information Service Employing Wi-Fi Location Fingerprinting |
title_full_unstemmed | Development of a Smartphone-Based University Library Navigation and Information Service Employing Wi-Fi Location Fingerprinting |
title_short | Development of a Smartphone-Based University Library Navigation and Information Service Employing Wi-Fi Location Fingerprinting |
title_sort | development of a smartphone-based university library navigation and information service employing wi-fi location fingerprinting |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827143/ https://www.ncbi.nlm.nih.gov/pubmed/33435400 http://dx.doi.org/10.3390/s21020432 |
work_keys_str_mv | AT retscherguenther developmentofasmartphonebaseduniversitylibrarynavigationandinformationserviceemployingwifilocationfingerprinting AT lebalexander developmentofasmartphonebaseduniversitylibrarynavigationandinformationserviceemployingwifilocationfingerprinting |