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A Novel Wireless Positioning System for Seamless Internet Connectivity based on the WLAN Infrastructure

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Abstract

Nowadays, several positioning systems are available for outdoor localization, such as the global positioning system (GPS), assisted GPS (A-GPS), and other systems working on cellular networks, for example, time difference of arrival (TDOA), angle of arrival (AOA) and enhanced observed time difference of arrival (E-OTD). However, with the increasing use of mobile computing devices and an expansion of wireless local area networks (WLANs), there is a growing interest in indoor wireless positioning systems based on the WLAN infrastructure. Wireless positioning systems (WPS) based on this infrastructure can be used for indoor localization to determine the position of mobile users. In this paper, we present a novel wireless positioning system, based on the IEEE 802.11b standard, using a novel access point (AP) with two transceivers to improve the performance of WPS in terms of accuracy of the location estimation and to avoid service connectivity interruption. In our proposed system, the novel AP uses the second transceiver to find information from neighboring mobile stations (STAs) in the transmission range and then sends information in advance to associated APs, which estimate the location of the STA based on an internal database. We also use a TDOA technique to estimate the location of the STA when there is not enough information in the database (in this case, the STA moves into a new area where the system has not run the calibration phase). Using TDOA, the database can be generated and updated automatically. The initial results from our simulations show that the proposed system provides higher accuracy of location estimation than other related work and does not interrupt the Internet connection for end users in contrast with other proposed schemes.

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References

  1. Hazas M., Scott J., Krumm J. (2004). Location-aware computing comes of age. IEEE Computer 37(2): 95–97

    Google Scholar 

  2. Hightower J., Borriello G. (2001). Location systems for ubiquitous computing. IEEE Computer 34, 57–66

    Google Scholar 

  3. ESRI (2006). GIS technology and applications for the fire service. ESRI White Paper, Mar 2006.

  4. Manodham, T. et al. (2006). A seamless handoff scheme with new AP module for wireless LANs Support VoIP. Proceedings of SAINT2006, pp. 253–258, Jan 2006.

  5. Youssef, M. et al. (2003). WLAN location determination via clustering and probability distributions. Proceedings of IEEE PerCom2003, Mar 2003.

  6. Kanaan, M., & Pahlavan, K. (2004). CN-TOAG: A new algorithm for indoor geolocation. Proceedings of IEEE PIMRC’04, 3, 1906–1910, Sep 2004.

  7. Kolodziej, K. W., & Hjelm, J. (2006). Local positioning systems: LBS applications and services. CRC.

  8. Cobb, H. S. (1997). GPS pseudolites: Theory, design, and applications. A Ph.D dissertation, Stanford University.

  9. Biacs, Z., Marshall, G., Meoglein, M., & Riley, W. (2002). The qualcomm/SnapTrack wireless-assisted GPS hybrid positioning system and results from initial commercial deployments. Proceedings of IOS GPS, pp. 378–384, 2002.

  10. BWCS (2002). The last known location of E-OTD. BWCS White Paper, Oct 2002.

  11. Tauber, J. A. (2002). Indoor location systems for pervasive computing. MIT Report.

  12. Want R., Hopper A., Falco V., Gibbons J. (1992). The active badge location system. ACM Transaction On Information Systems 10(1): 91–102

    Article  Google Scholar 

  13. Harter, A., Hopper, A., Steggles, P., Ward, A., & Webster, P. (1999). The anatomy of a context-aware application. Proceedings of ACM/IEEE MobiCom’99, pp. 59–68, Aug 1999.

  14. Hashimoto N., et al. (2006). Assets location management solution based on the combination of SmartLocator and RFID. NEC Technical Journal 1: 92–96

    Google Scholar 

  15. Bahl, P. et al. (2000). RADAR: An in-building RF-based user location and tracing system. Proceedings of Infocom2000, pp. 775–784, Mar 2000.

  16. Moraes, L. F. M., & Nunes, B. A. A. (2006). Calibration-free WLAN location system based on dynamic mapping of signal strength. Proceedings of ACM MobiWAC’06, pp. 92–99, Oct 2006.

  17. Smailagic A., Kogan D. (2002). Location sensing and privacy in a context-aware computing environment. IEEE Wireless Communications 9(5): 10–17 Oct 2002.

    Article  Google Scholar 

  18. Ekahau, Inc., “Ekahau Positioning Engine 4.0”, http://www.ekahau.com/. Accessed, Oct 2006.

  19. Yamasaki, R. et al. (2005) TDOA location system for IEEE 802.11b WLAN. Proceedings of IEEE WCNC’05, pp. 2338–2343, March 2005.

  20. Sayed, A. H. (2003). Fundamentals of adaptive filtering. John Wiley & Sons.

  21. Alloum, A. et al. (1997). Parameters nonlinear identification for vehicle model. Proceedings of IEE International Conference on Control Application, Hartford, Ct, Oct 1997.

  22. Eidson, J. C. (2006). Measurement, control and communication using IEEE 1588. Springer, Apr 2006.

  23. Li X., Pahlavan K. (2004). Super-resolution TOA estimation with diversity for indoor geolocation. IEEE Transactions On Wireless Communications 3, 224–234

    Article  Google Scholar 

  24. Fang B.T. (1990). Simple solutions for hyperbolic and related position fixes. IEEE Transactions on Aerospace and Electronic Systems 26(5): 748–753

    Article  Google Scholar 

  25. OPNET Modeler version 10.5 with wireless module, WLAN MAC process model. http://www.opnet.com. Accessed, Oct 2004.

  26. Collins, D. (2002). Carrier grade voice over IP (2nd ed.). MGraw-Hill.

  27. Pandya, D. et al. (2003). Indoor location estimation using multiple wireless technologies. Proceedings of IEEE PIMRC2003, Sep 2003.

  28. IEEE. Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. Standard 802.11, 1999.

  29. Roos T., et al. (2002). A probabilistic approach to WLAN user location. International Journal of Wireless Information Networks 9, 155–164 Jul. 2002.

    Article  Google Scholar 

  30. Kaemarungsi, K. et al. (2004). Modeling of indoor positioning systems based on location fingerprinting. In Proceedings of IEEE Infocom2004, May 2004.

  31. Janssen, G. J. M., & Prasad, R. (1992). Propagation measurements in an indoor radio environment at 2.4 GHz, 4.75 GHz and 11.5 GHz. Proceedings of IEEE VTC, 1992, pp. 617–620, May 1992.

  32. Chen, Y., & Kobayashi, H. (2002). Signal strength based indoor geolocation. Proceedings of IEEE ICC2002, pp. 436–439, Apr 2002.

  33. Ladd, A. M. et al. (2002). Robotics-based location sensing using wireless ethernet. Proceedings of MOBICOM2002, pp. 227–238, Sep 2002.

  34. Rappaport, T. S. (2001). Wireless communications: Principles and practice (2nd ed.). New Jersey: Prentice Hall PTR, Upper Saddle River.

  35. McGraw Hill, & Parker, S. P. (2002). McGraw Hill dictionary of scientific and technical terms (6th ed.). McGraw Hill.

  36. Schiller, J., & Voisard, A. (2004). Location-based services. Morgan Kaufmann.

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Correspondence to Thavisak Manodham.

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Manodham, T., Loyola, L. & Miki, T. A Novel Wireless Positioning System for Seamless Internet Connectivity based on the WLAN Infrastructure. Wireless Pers Commun 44, 295–309 (2008). https://doi.org/10.1007/s11277-007-9373-1

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