Abstract
Indoor Positioning has been an active research area in the last decade, but so far, commercial Indoor Positioning Systems (IPSs) have been sparse. The main obstacle towards widely available IPSs has been the lack of appropriate, low cost technologies, that enable indoor positioning. While Wi-Fi infrastructures are ubiquitous, consumer-oriented Wi- Fi enabled mobile phones have been missing. Conversely, while Bluetooth technology is present in the vastmajority of consumermobile phones,Bluetooth infrastructures have been missing. Bluetooth infrastructures have typically been installed as part of complete hardware-/software IPSs that often incur a substantial hardware cost. Furthermore, Bluetooth has low power consumption compared to Wi-Fi devices, which promotes longer battery life-time on mobile phones. In this paper, we present a Bluetooth IPS based entirely on commodity-grade products. The positioning accuracy is evaluated by using the so-called location fingerprinting technique which is well-known from Wi-Fi positioning literature. The results show that 2 meters median accuracy is achievable - a result that compares favourably to results for Wi-Fi based systems.
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References
Hansen, R., Thomsen, B.: Efficient and Accurate WLAN Positioning with Weighted Graphs. Mobile Lightweight Wireless Systems, 372–386 (2009)
Kaemarungsi, K., Krishnamurthy, P.: Modeling of indoor positioning systems based on location fingerprinting. In: Twenty-third Annual Joint Conference of the IEEE Computer and Communications Societies, INFOCOM 2004, vol. 2, pp. 1012–1022 (2004)
Honkavirta, V., Perala, T., Ali-loytty, S., Piche, R.: A Comparative Survey of WLAN Location Fingerprinting Methods. In: Proceedings of the Wpnc: 2009 6th Workshop on Positioning, Navigation and Communication, pp. 243–251 (2009)
Bose, A., Foh, C.H.: A practical path loss model for indoor WiFi positioning enhancement. In: 2007 6th International Conference Information, Communications Signal Processing, pp. 1–5 (2007)
Brunato, M., Battiti, R.: Statistical learning theory for location fingerprinting in wireless LANs. Comput. Netw. ISDN Syst., 825–845 (2005)
Wu, C., Fu, L., Lian, F.: WLAN location determination in e-home via support vector classification. In: IEEE International Conference on Networking, Sensing and Control, pp. 1026–1031 (2004)
Battiti, R., Villani, A., Le Nhat, T.: Location-Aware Computing: A Neural Network Model For Determining Location In Wireless Lans. Techical report (2002)
Laoudias, C., Eliades, D., Kemppi, P., Panayiotou, C., Polycarpou, M.: Indoor Localization Using Neural Networks with Location Fingerprints. In: Alippi, C., Polycarpou, M., Panayiotou, C., Ellinas, G. (eds.) ICANN 2009. LNCS, vol. 5769, pp. 954–963. Springer, Heidelberg (2009)
Coda: Wi-Fi enabled handset penetration in the US to quadruple by 2015 (2010), http://www.codaresearch.co.uk/wificellular/pressrelease.htm
CTIA: CTIA Semi-Annual Wireless Industry Survey (2011), http://www.ctia.org/advocacy/research/index.cfm/AID/10316
Nokia: Nokia mobile phones in UK (2011), http://www.nokia.co.uk/find-products/all-phones
Breeze Tech: Bluetooth enabled mobile phones (2011), http://www.breeze-tech.com.au/FAQs.htm
BLIP: Marketing and Tracking Solutions (2010), http://www.blipsystems.com/
Frost, C., Jensen, C.S., Luckow, K.S.: Easy clocking - a system for automatically clocking in and out employees. Technical report, Aalborg University (2009), http://www.cs.aau.dk/~luckow/easyclocking-2009.pdf
Frost, C., Jensen, C.S., Luckow, K.S.: Bluecaml - bluetooth, collaborative, and maintainable location system. Technical report, Aalborg University (2010), http://www.cs.aau.dk/~luckow/bluecaml-2010.pdf
Pering, T., Agarwal, Y., Gupta, R., Want, R.: Coolspots: Reducing the power consumption of wireless mobile devices with multiple radio interfaces. In: Proceedings of the 4th International Conference on Mobile Systems, Applications and Services, pp. 220–232. ACM (2006)
Bahl, P., Padmanabhan, V.N.: RADAR: an in-building RF-based user location and tracking system. In: Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, INFOCOM 2000, vol. 2, pp. 775–784. IEEE (2000)
Haeberlen, A., Flannery, E., Ladd, A.M., Algis, R., Wallach, D.S., Kavraki, L.E.: Practical robust localization over large-scale 802.11 wireless networks. In: Proceedings of the 10th Annual International Conference on Mobile Computing and Networking, pp. 70–84. ACM (2004)
Roos, T., Myllymki, P., Tirri, H., Misikangas, P., Sievnen, J.: A Probabilistic Approach to WLAN User Location Estimation. International Journal of Wireless Information Networks, 155–164 (2002)
Bahl, P., Padmanabhan, V.N., Balachandran, A.: Enhancements to the RADAR user location and tracking system. Citeseer. Microsoft Research (2000)
Liu, H., Darabi, H., Banerjee, P., Liu, J.: Survey of Wireless Indoor Positioning Techniques and Systems. IEEE Transactions on Systems, Man and Cybernetics, 1067–1080 (2007)
Kjærgaard, M.B.: A Taxonomy for Radio Location Fingerprinting. In: Hightower, J., Schiele, B., Strang, T. (eds.) LoCA 2007. LNCS, vol. 4718, pp. 139–156. Springer, Heidelberg (2007)
King, T., Haenselmann, T., Effelsberg, W.: Deployment, Calibration, and Measurement Factors for Position Errors in 802.11-Based Indoor Positioning Systems. In: Hightower, J., Schiele, B., Strang, T. (eds.) LoCA 2007. LNCS, vol. 4718, pp. 17–34. Springer, Heidelberg (2007)
Elnahrawy, E., Li, X., Martin, R.P.: The limits of localization using signal strength: a comparative study. In: IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, pp. 406–414 (2004)
Thapa, K., Case, S.: An Indoor Positioning Service for Bluetooth Ad Hoc Networks. In: MISC 2003: The 36th Annual Midwest Instruction and Computing Symposium, Duluth, MN, USA (2003)
Sig, B.: Specification of the Bluetooth System Version 2.1+ EDR (2007)
Papamanthou, C., Preparata, F.P., Tamassia, R.: Algorithms for Location Estimation Based on RSSI Sampling. In: Fekete, S.P. (ed.) ALGOSENSORS 2008. LNCS, vol. 5389, pp. 72–86. Springer, Heidelberg (2008)
Woodings, R., Joos, D., Clifton, T., Knutson, C.: Rapid heterogeneous connection establishment: Accelerating Bluetooth inquiry using IrDA. In: Wireless Communications and Networking Conference, pp. 342–349 (2002)
Fresnedo, O., Iglesia, D.I., Escudero, C.J.: Bluetooth inquiry procedure: optimization and influence of the number of devices. In: Proceedings of the Sixth IASTED International Conference on Communication Systems and Networks, pp. 205–209. ACTA Press (2007)
Bolliger, P., Partridge, K., Chu, M., Langheinrich, M.: Improving Location Fingerprinting through Motion Detection and Asynchronous Interval Labeling. In: Choudhury, T., Quigley, A., Strang, T., Suginuma, K. (eds.) LoCA 2009. LNCS, vol. 5561, pp. 37–51. Springer, Heidelberg (2009)
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Frost, C., Jensen, C.S., Luckow, K.S., Thomsen, B., Hansen, R. (2012). Bluetooth Indoor Positioning System Using Fingerprinting. In: Del Ser, J., et al. Mobile Lightweight Wireless Systems. Mobilight 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 81. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29479-2_11
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DOI: https://doi.org/10.1007/978-3-642-29479-2_11
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