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Development of an Indoor Location Based Service Test Bed and Geographic Information System with a Wireless Sensor Network

In order to provide the seamless navigation and positioning services for indoor environments, an indoor location based service (LBS) test bed is developed to integrate the indoor positioning system and the indoor three-dimensional (3D) geographic information system (GIS). A wireless sensor network (...

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Autores principales: Jan, Shau-Shiun, Hsu, Li-Ta, Tsai, Wen-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274209/
https://www.ncbi.nlm.nih.gov/pubmed/22319282
http://dx.doi.org/10.3390/s100402957
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author Jan, Shau-Shiun
Hsu, Li-Ta
Tsai, Wen-Ming
author_facet Jan, Shau-Shiun
Hsu, Li-Ta
Tsai, Wen-Ming
author_sort Jan, Shau-Shiun
collection PubMed
description In order to provide the seamless navigation and positioning services for indoor environments, an indoor location based service (LBS) test bed is developed to integrate the indoor positioning system and the indoor three-dimensional (3D) geographic information system (GIS). A wireless sensor network (WSN) is used in the developed indoor positioning system. Considering the power consumption, in this paper the ZigBee radio is used as the wireless protocol, and the received signal strength (RSS) fingerprinting positioning method is applied as the primary indoor positioning algorithm. The matching processes of the user location include the nearest neighbor (NN) algorithm, the K-weighted nearest neighbors (KWNN) algorithm, and the probabilistic approach. To enhance the positioning accuracy for the dynamic user, the particle filter is used to improve the positioning performance. As part of this research, a 3D indoor GIS is developed to be used with the indoor positioning system. This involved using the computer-aided design (CAD) software and the virtual reality markup language (VRML) to implement a prototype indoor LBS test bed. Thus, a rapid and practical procedure for constructing a 3D indoor GIS is proposed, and this GIS is easy to update and maintenance for users. The building of the Department of Aeronautics and Astronautics at National Cheng Kung University in Taiwan is used as an example to assess the performance of various algorithms for the indoor positioning system.
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spelling pubmed-32742092012-02-08 Development of an Indoor Location Based Service Test Bed and Geographic Information System with a Wireless Sensor Network Jan, Shau-Shiun Hsu, Li-Ta Tsai, Wen-Ming Sensors (Basel) Article In order to provide the seamless navigation and positioning services for indoor environments, an indoor location based service (LBS) test bed is developed to integrate the indoor positioning system and the indoor three-dimensional (3D) geographic information system (GIS). A wireless sensor network (WSN) is used in the developed indoor positioning system. Considering the power consumption, in this paper the ZigBee radio is used as the wireless protocol, and the received signal strength (RSS) fingerprinting positioning method is applied as the primary indoor positioning algorithm. The matching processes of the user location include the nearest neighbor (NN) algorithm, the K-weighted nearest neighbors (KWNN) algorithm, and the probabilistic approach. To enhance the positioning accuracy for the dynamic user, the particle filter is used to improve the positioning performance. As part of this research, a 3D indoor GIS is developed to be used with the indoor positioning system. This involved using the computer-aided design (CAD) software and the virtual reality markup language (VRML) to implement a prototype indoor LBS test bed. Thus, a rapid and practical procedure for constructing a 3D indoor GIS is proposed, and this GIS is easy to update and maintenance for users. The building of the Department of Aeronautics and Astronautics at National Cheng Kung University in Taiwan is used as an example to assess the performance of various algorithms for the indoor positioning system. Molecular Diversity Preservation International (MDPI) 2010-03-30 /pmc/articles/PMC3274209/ /pubmed/22319282 http://dx.doi.org/10.3390/s100402957 Text en © 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Jan, Shau-Shiun
Hsu, Li-Ta
Tsai, Wen-Ming
Development of an Indoor Location Based Service Test Bed and Geographic Information System with a Wireless Sensor Network
title Development of an Indoor Location Based Service Test Bed and Geographic Information System with a Wireless Sensor Network
title_full Development of an Indoor Location Based Service Test Bed and Geographic Information System with a Wireless Sensor Network
title_fullStr Development of an Indoor Location Based Service Test Bed and Geographic Information System with a Wireless Sensor Network
title_full_unstemmed Development of an Indoor Location Based Service Test Bed and Geographic Information System with a Wireless Sensor Network
title_short Development of an Indoor Location Based Service Test Bed and Geographic Information System with a Wireless Sensor Network
title_sort development of an indoor location based service test bed and geographic information system with a wireless sensor network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274209/
https://www.ncbi.nlm.nih.gov/pubmed/22319282
http://dx.doi.org/10.3390/s100402957
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