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Multidimensional Optimization of Signal Space Distance Parameters in WLAN Positioning

Accurate indoor localization of mobile users is one of the challenging problems of the last decade. Besides delivering high speed Internet, Wireless Local Area Network (WLAN) can be used as an effective indoor positioning system, being competitive both in terms of accuracy and cost. Among the locali...

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Detalles Bibliográficos
Autores principales: Brković, Milenko, Simić, Mirjana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3976821/
https://www.ncbi.nlm.nih.gov/pubmed/24757443
http://dx.doi.org/10.1155/2014/986061
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author Brković, Milenko
Simić, Mirjana
author_facet Brković, Milenko
Simić, Mirjana
author_sort Brković, Milenko
collection PubMed
description Accurate indoor localization of mobile users is one of the challenging problems of the last decade. Besides delivering high speed Internet, Wireless Local Area Network (WLAN) can be used as an effective indoor positioning system, being competitive both in terms of accuracy and cost. Among the localization algorithms, nearest neighbor fingerprinting algorithms based on Received Signal Strength (RSS) parameter have been extensively studied as an inexpensive solution for delivering indoor Location Based Services (LBS). In this paper, we propose the optimization of the signal space distance parameters in order to improve precision of WLAN indoor positioning, based on nearest neighbor fingerprinting algorithms. Experiments in a real WLAN environment indicate that proposed optimization leads to substantial improvements of the localization accuracy. Our approach is conceptually simple, is easy to implement, and does not require any additional hardware.
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spelling pubmed-39768212014-04-22 Multidimensional Optimization of Signal Space Distance Parameters in WLAN Positioning Brković, Milenko Simić, Mirjana ScientificWorldJournal Research Article Accurate indoor localization of mobile users is one of the challenging problems of the last decade. Besides delivering high speed Internet, Wireless Local Area Network (WLAN) can be used as an effective indoor positioning system, being competitive both in terms of accuracy and cost. Among the localization algorithms, nearest neighbor fingerprinting algorithms based on Received Signal Strength (RSS) parameter have been extensively studied as an inexpensive solution for delivering indoor Location Based Services (LBS). In this paper, we propose the optimization of the signal space distance parameters in order to improve precision of WLAN indoor positioning, based on nearest neighbor fingerprinting algorithms. Experiments in a real WLAN environment indicate that proposed optimization leads to substantial improvements of the localization accuracy. Our approach is conceptually simple, is easy to implement, and does not require any additional hardware. Hindawi Publishing Corporation 2014-03-16 /pmc/articles/PMC3976821/ /pubmed/24757443 http://dx.doi.org/10.1155/2014/986061 Text en Copyright © 2014 M. Brković and M. Simić. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Brković, Milenko
Simić, Mirjana
Multidimensional Optimization of Signal Space Distance Parameters in WLAN Positioning
title Multidimensional Optimization of Signal Space Distance Parameters in WLAN Positioning
title_full Multidimensional Optimization of Signal Space Distance Parameters in WLAN Positioning
title_fullStr Multidimensional Optimization of Signal Space Distance Parameters in WLAN Positioning
title_full_unstemmed Multidimensional Optimization of Signal Space Distance Parameters in WLAN Positioning
title_short Multidimensional Optimization of Signal Space Distance Parameters in WLAN Positioning
title_sort multidimensional optimization of signal space distance parameters in wlan positioning
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3976821/
https://www.ncbi.nlm.nih.gov/pubmed/24757443
http://dx.doi.org/10.1155/2014/986061
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