| Indoor localization based on response rate of bluetooth inquiries |
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International Conference on Mobile Computing and Networking
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Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments
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San Francisco, California, USA
SESSION: Radio/RSSI based methods
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Pages: 49-54
Year of Publication: 2008
ISBN:978-1-60558-189-7
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Downloads (6 Weeks): 29, Downloads (12 Months): 239, Citation Count: 1
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ABSTRACT
Location is considered as the most important and relevant context information. Bluetooth technology, being a common feature of commercial mobile devices, is a (or the) key technology that is pervasively available nowadays. There has been not much success in using Bluetooth technology for indoor localization, mainly due to the limitation of the technology. Using the Context Management Frame (CMF) infrastructure deployed in our office building, we have designed, implemented and evaluated a Bluetooth based indoor localization solution that determines the locations of stationary mobile users at a room level. The solution is based on the inquiry response rate of Bluetooth technology. This approach does not require establishing any connectivity between Bluetooth devices. Further, since the solution is infrastructure- and network-based, it does not require mobile devices to be upgraded in any way in order to be localized. The results of experiments show that our solution has 98% accuracy in rooms with full Bluetooth sensor coverage, when the target device being stationary for 3 minutes.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Madhavapeddy, A. and Tse, A. 2005. A Study of Bluetooth Propagation Using Accurate Indoor Location Mapping. In Proceedings of the Seventh International Conference on Ubiquitous Computing (UbiComp 2005). Beigl M. et al. (Eds.), LNCS 3660, 105 --- 120 2005.
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Kjærgaard, M.B. 2007. A Taxonomy for Radio Location Fingerprinting. In Proceedings of the Third International Symposium on Location and Context Awareness (LoCA 2007). Springer LNCS, vol. 4718, pp. 139--156.
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Yu-Chung Cheng , Yatin Chawathe , Anthony LaMarca , John Krumm, Accuracy characterization for metropolitan-scale Wi-Fi localization, Proceedings of the 3rd international conference on Mobile systems, applications, and services, June 06-08, 2005, Seattle, Washington
[doi> 10.1145/1067170.1067195]
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Imran Hussain , Sadia Hussain , Imtiaz Khokhar , Raja Iqbal , Mofassir ul Haque , Shoab Ahmed Khan, Comparative analysis of OFDMA and MC-IDMA multiple access techniques for XG wireless applications, Proceedings of the 2007 Euro American conference on Telematics and information systems, May 14-17, 2007, Faro, Portugal
[doi> 10.1145/1352694.1352719]
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Fuglede, B. and Topsoe, F. 2004. Jensen-Shannon divergence and Hilbert space embedding. In proceedings of International Symposium on Information Theory (ISIT 2004). 27 June--2 July 2004, pp. 31--.
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Andreas Haeberlen , Eliot Flannery , Andrew M. Ladd , Algis Rudys , Dan S. Wallach , Lydia E. Kavraki, Practical robust localization over large-scale 802.11 wireless networks, Proceedings of the 10th annual international conference on Mobile computing and networking, September 26-October 01, 2004, Philadelphia, PA, USA
[doi> 10.1145/1023720.1023728]
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