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LANDMARC: indoor location sensing using active RFID
Abstract
Growing convergence among mobile computing devices and embedded technology sparks the development and deployment of "context-aware" applications, where location is the most essential context. We present LANDMARC, a location sensing prototype system that uses Radio Frequency Identification (RFID) technology for locating objects inside buildings. The major advantage of LANDMARC is that it improves the overall accuracy of locating objects by utilizing the concept of reference tags. Based on experimental analysis, we demonstrate that active RFID is a viable and cost-effective candidate for indoor location sensing. Although RFID is not designed for indoor location sensing, we point out three major features that should be added to make RFID technologies competitive in this new and growing market.
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Cites
RADAR: an in-building RF-based user location and tracking system
Bahl, P., & Padmanabhan, V. N. (2002) · Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064) · doi:10.1109/infcom.2000.832252 · Cited by 8,380
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Rashidi, P., & Mihailidis, A. (2013) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2012.2234129 · Cited by 1,128
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Metadata
- Authors
- Ni, L. M., Liu, Y., Lau, Y. C., & Patil, A. P.
- Venue
- Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).
- Publisher
- IEEE Comput. Soc
- Published
- 2004-01-24
- Pages
- 407-415
- ISSN
- 2474-249X (ISSN-L)
- OpenAlex
- W2163993204
- Cited by
- 2,323
- References
- 1
- FWCI
- 69.16
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Ni, L. M., Liu, Y., Lau, Y. C., & Patil, A. P. (2004). LANDMARC: indoor location sensing using active RFID. Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003). https://doi.org/10.1109/percom.2003.1192765
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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