| Download | - View accepted manuscript: A 3-D indoor location tracking and visualization system based on wireless sensor networks (PDF, 394 KiB)
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| DOI | Resolve DOI: https://doi.org/10.1109/ICSMC.2010.5642358 |
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| Author | Search for: Bal, M.1; Search for: Xue, H.1; Search for: Shen, W.1; Search for: Ghenniwa, H. |
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| Affiliation | - National Research Council of Canada. NRC Institute for Research in Construction
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| Format | Text, Article |
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| Conference | 2010 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2010), 10-13 October 2010, Istanbul, Turkey |
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| Subject | Wireless sensor networks, ZigBee, 3-D localization, fingerprinting, visualization |
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| Abstract | This paper describes a 3-D location tracking and visualization system using wireless sensor nodes in indoor environments. The system is based on a modified radio-location fingerprinting algorithm and it uses inexpensive, programmable wireless embedded platforms operating in a ZigBee wireless network protocol. The main emphasis of this study is on the ability to estimate the location of mobile wireless nodes in 3-D indoor spaces, without any costly infrastructure. The wireless nodes have been deployed in an experimental test bed, for location tracking and motion estimation. A K-nearest neighbor algorithm has been implemented for location estimation over a set of radio location fingerprints collected in a 3-D space. A 3-D visualization interface has been developed in VRML in order to display the real-time sensor positions and the data in the 3-D world. Preliminary experimental results show that the proposed scheme can achieve accurate and stable location tracking in indoor environments. |
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| Publication date | 2010-10 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NRC number | NRCC 53290
NRC-IRC-20977 |
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| NPARC number | 20374618 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 55f2cc2f-d7d7-4c58-8160-66bbab16a98f |
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| Record created | 2012-07-23 |
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| Record modified | 2020-06-08 |
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