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Place Lab: Device Positioning Using Radio Beacons in the Wild

  • Anthony LaMarca
  • Yatin Chawathe
  • Sunny Consolvo
  • Jeffrey Hightower
  • Ian Smith
  • James Scott
  • Timothy Sohn
  • James Howard
  • Jeff Hughes
  • Fred Potter
  • Jason Tabert
  • Pauline Powledge
  • Gaetano Borriello
  • Bill Schilit
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3468)

Abstract

Location awareness is an important capability for mobile computing. Yet inexpensive, pervasive positioning—a requirement for wide-scale adoption of location-aware computing—has been elusive. We demonstrate a radio beacon-based approach to location, called Place Lab, that can overcome the lack of ubiquity and high-cost found in existing location sensing approaches. Using Place Lab, commodity laptops, PDAs and cell phones estimate their position by listening for the cell IDs of fixed radio beacons, such as wireless access points, and referencing the beacons’ positions in a cached database. We present experimental results showing that 802.11 and GSM beacons are sufficiently pervasive in the greater Seattle area to achieve 20-30 meter median accuracy with nearly 100% coverage measured by availability in people’s daily lives.

Keywords

Global Position System Access Point Cell Phone Ubiquitous Computing Global Position System Receiver 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Doucet, A., De Freitas, N. (eds.): Sequential Monte Carlo in Practice. Springer, New York (2001)zbMATHGoogle Scholar
  2. 2.
    Loytana, K. (ed.): JSR 179 Location API for J2ME (2003), http://www.jcp.org/en/jsr/detail?id=179
  3. 3.
    Bahl, P., Padmanabhan, V.: Radar: An In-Building RF-Based User Location and Tracking System. In: Proceedings of IEEE INFOCOM, Tel-Aviv, Israel, pp. 775–784 (2000)Google Scholar
  4. 4.
    Griswold, W.G., Shanahan, P., Brown, S.W., Boyer, R., Ratto, M., Shapiro, R.B., Truong, T.M.: ActiveCampus - Experiments in Community-Oriented Ubiquitous Computing. IEEE Computer (to appear)Google Scholar
  5. 5.
    Hightower, J., Borriello, G.: Particle filters for location estimation in ubiquitous computing: A case study. In: Davies, N., Mynatt, E.D., Siio, I. (eds.) UbiComp 2004. LNCS, vol. 3205, pp. 88–106. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  6. 6.
    Krumm, J., Cermak, G., Horvitz, E.: RightSpot: A Novel Sense of Location for a Smart Personal Object. In: Dey, A.K., Schmidt, A., McCarthy, J.F. (eds.) UbiComp 2003. LNCS, vol. 2864, pp. 36–43. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  7. 7.
    Laasonen, K., Raento, M., Toivonen, H.: Adaptive On-Device Location Recognition. Paper presented at the Pervasive Computing: Second International Conference (2004)Google Scholar
  8. 8.
    Li, Y., Jason, I.H., Landay, J.A.: Topiary: A Tool for Prototyping Location-Enhanced Applications. Paper presented at the Symposium on User Interface Software and Technology - UIST 2004 (2004)Google Scholar
  9. 9.
    Patterson, D.J., Liao, L., Fox, D., Kautz, H.A.: In: Dey, A.K., Schmidt, A., McCarthy, J.F. (eds.) UbiComp 2003. LNCS, vol. 2864, pp. 73–89. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  10. 10.
    Priyantha, N.B., Chakraborty, A., Balakrishnan, H.: The Cricket Location-Support System. In: Proceedings of MOBICOM 2000, pp. 32–43. ACM Press, Boston (2000)CrossRefGoogle Scholar
  11. 11.
    Schilit, B., Lamarca, A., Borriello, G., Griswold, W., Mcdonald, D., Lazowska, E., Balachandran, A., Hong, J., Iverson, V.: Challenge: Ubiquitous Location-Aware Computing and the Place Lab Initiative. In: Proceedings of the First ACM International Workshop on Wireless Mobile Applications and Services on WLAN, WMASH (2003)Google Scholar
  12. 12.
    Want, R., Hopper, A., Falcao, V., Gibbons, J.: The Active Badge Location System. ACM Transactions on Information Systems 10, 91–102 (1992)CrossRefGoogle Scholar
  13. 13.
    Want, R., Schilit, B., Adams, N., Gold, R., Petersen, K., Goldberg, D., Ellis, J., Weiser, M.: The ParcTab Ubiquitous Computing Experiment. In: Imielinski, T. (ed.) Mobile Computing, pp. 45–101. Kluwer Publishing, Dordrecht (1997)Google Scholar
  14. 14.
    Want, R., Pering, T., Danneels, G., Kumar, M., Sundar, M., Light, J.: The Personal Server: Changing the Way We Think about Ubiquitous Computing. In: Borriello, G., Holmquist, L.E. (eds.) UbiComp 2002. LNCS, vol. 2498, p. 194. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  15. 15.
    Ward, A., Jones, A., Hopper, A.: A New Location Technique for the Active Office. IEEE Personal Communications 4, 42–47 (1997)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Anthony LaMarca
    • 1
  • Yatin Chawathe
    • 1
  • Sunny Consolvo
    • 1
  • Jeffrey Hightower
    • 1
  • Ian Smith
    • 1
  • James Scott
    • 2
  • Timothy Sohn
    • 3
  • James Howard
    • 4
  • Jeff Hughes
    • 4
  • Fred Potter
    • 4
  • Jason Tabert
    • 5
  • Pauline Powledge
    • 1
  • Gaetano Borriello
    • 4
  • Bill Schilit
    • 1
  1. 1.Intel Research Seattle 
  2. 2.Intel Research Cambridge 
  3. 3.Department of Computer ScienceUCSan Diego
  4. 4.Department of Computer Science & EngineeringUniversity of Washington 
  5. 5.Information SchoolUniversity of Washington 

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