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Indoor localization based on response rate of bluetooth inquiries
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International Conference on Mobile Computing and Networking archive
Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments table of contents
San Francisco, California, USA
SESSION: Radio/RSSI based methods table of contents
Pages: 49-54  
Year of Publication: 2008
ISBN:978-1-60558-189-7
Authors
Mortaza S. Bargh  Telematica Instituut, Enschede, Netherlands
Robert de Groote  Telematica Istituut, Enschede, Netherlands
Sponsors
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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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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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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Collaborative Colleagues:
Mortaza S. Bargh: colleagues
Robert de Groote: colleagues