The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
WLAN location determination via clustering and probability distributions
Abstract
We present a WLAN location determination technique, the Joint Clustering technique, that uses: (1) signal strength probability distributions to address the noisy wireless channel, and (2) clustering of locations to reduce the computational cost of searching the radio map. The Joint Clustering technique reduces computational cost by more than an order of magnitude, compared to the current state of the art techniques, allowing non-centralized implementation on mobile clients. Results from 802.11-equipped iPAQ implementations show that the new technique gives user location to within 7 feet with over 90% accuracy.
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Citations
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
Cited by
The Horus WLAN location determination system
Youssef, M., & Agrawala, A. (2005) · Proceedings of the 3rd international conference on Mobile systems, applications, and services · doi:10.1145/1067170.1067193 · Cited by 1,653
Self-citationSayed, A. H., Tarighat, A., & Khajehnouri, N. (2005) · IEEE Signal Processing Magazine · doi:10.1109/msp.2005.1458275 · Cited by 1,312
Recent Advances in Wireless Indoor Localization Techniques and System
Farid, Z., Nordin, R., & Ismail, M. (2013) · Journal of Computer Networks and Communications · doi:10.1155/2013/185138 · Cited by 514
Properties of indoor received signal strength for WLAN location fingerprinting
Kaemarungsi, K., & Krishnamurthy, P. (2004) · The First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2004. MOBIQUITOUS 2004. · doi:10.1109/mobiq.2004.1331706 · Cited by 498
Nuzzer: A Large-Scale Device-Free Passive Localization System for Wireless Environments
Seifeldin, M., Saeed, A., Kosba, A. E., El-Keyi, A., & Youssef, M. (2013) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2012.106 · Cited by 365
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Metadata
- Authors
- Youssef, M. A., Agrawala, A., & Udaya Shankar, A.
- Venue
- Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).
- Publisher
- IEEE Comput. Soc
- Published
- 2004-01-23
- Pages
- 143-150
- ISSN
- 2474-249X (ISSN-L)
- OpenAlex
- W2143243918
- Cited by
- 917
- References
- 1
- FWCI
- 74.96
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Youssef, M. A., Agrawala, A., & Udaya Shankar, A. (2004). WLAN location determination via clustering and probability distributions. Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003). https://doi.org/10.1109/percom.2003.1192736
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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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