Considerations for RFID-Based Indoor Simultaneous Tracking

  • Apostolia Papapostolou
  • Hakima Chaouchi
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 308)

Abstract

Context-aware applications is not just a vision. Advances in wireless communications and mobile capabilities have revolutionized the way services are brought to users, i.e. adapted to their context. Location is a key attribute of the term context and thus, an accurate location determination system is of paramount importance. RFID (Radio Frequency IDentification) is an emerging technology and recently has been explored for its applicability in location sensing systems. In this paper, we focus on an RFID-based localization approach in an indoor multi-user environment and model its most adverse implicating factors, that is collisions among its main components and interference from indoor characteristics. Extensive simulations are conducted to characterize and evaluate the performance behavior of the proposed scheme in environments with different levels of severity.

Keywords

RFID Location Simultaneous Trucking Reader Collisions 

References

  1. 1.
    Kaplan, E.: Understanding GPS: Principles and Applications. Artech House (2005)Google Scholar
  2. 2.
    Hightower, J., Borrielo, G.: Location Systems for Ubiquitous Computing. IEEE Computer 34(8), 57–66 (2001)CrossRefGoogle Scholar
  3. 3.
    Bahl, P., Padmanbhan, V.N.: RADAR: An In-Building RF-based User Location and Tracking System. In: IEEE Infocom, vol. 2, pp. 775–784 (2000)Google Scholar
  4. 4.
    Youssef, M., Agrawala, A.: The Horus Location Determination System. In: Mobisys, pp. 205–219 (2005)Google Scholar
  5. 5.
    King, T., Kopf, S., Haenselmann, T., Lubberger, C., Effelsberg, W.: COMPASS: a Probabilistic Indoor Positioning System Based on 802.11 and Digital Compasses. In: WinTeck, pp. 24–40 (2006)Google Scholar
  6. 6.
    Papapostolou, A., Chaouchi, H.: WIFE: Wireless Indoor positioning based on Fingerprint Evaluation. In: IFIP Networking (2009)Google Scholar
  7. 7.
    Want, R., Hopper, A., Falcao, V., Gibbons, J.: The Active Badge Location System. ACM Transactions on Information Systems 40(1), 91–102 (1992)CrossRefGoogle Scholar
  8. 8.
    Priyyantha, N.B., Chakraborty, A., Balakrishnan, H.: The Cricket Location-Support System. In: 6th International ACM MOBICOM (2000)Google Scholar
  9. 9.
    Want, R.: An introduction to RFID technology. IEEE Pervasive Computing 5(1), 25–33 (2006)CrossRefGoogle Scholar
  10. 10.
    Ni, L.M., Liu, Y.: LANDMARK: Indoor Location Sensing Using Active RFID. Wireless Networks, 701–710 (2004)Google Scholar
  11. 11.
    Hightower, J., Want, R., Borriello, G.: SpotON: An indoor 3D location sensing technology based on RF signal strength, University of Washington, Department of Computer Science and Engineering, Seattle, WA, UW CSE 00-02-02 (February 2000)Google Scholar
  12. 12.
    Wang, C., Wu, H., Tzeng, N.-F.: RFID-based 3-D positioning schemes. In: IEEE INFOCOM, pp. 1235–1243 (2007)Google Scholar
  13. 13.
    Bouet, M., Pujolle, G.: A Range-Free 3-D Localization Method for RFID Tags Based on Virtual Landmarks. In: IEEE PIMRC (2008)Google Scholar
  14. 14.
    Bekkali, A., Sanson, H., Matsumoto, M.: RFID Indoor Positioning Based on Probabilistic RFID Map and Kalman Filtering. In: Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob (2007)Google Scholar
  15. 15.
    Yamanoi, K., Tanaka, K., Hirayma, M., Kondo, E., Kimuro, Y., Matsumototi, M.: Self-localization of Mobile Robots with WID System by using Support Vector Machine. In: Proceedings of 2004 IEEWRSI International Conference on Intelligent Robots and Systems, Sendai, Japan (2004)Google Scholar
  16. 16.
    Leong, K.S., Ng, M.L., Cole, P.H.: The reader collision problem in RFID systems. In: IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, Beijing, China, August 8-12, 2005, pp. 8–12 (2005)Google Scholar
  17. 17.
  18. 18.

Copyright information

© IFIP International Federation for Information Processing 2009

Authors and Affiliations

  • Apostolia Papapostolou
    • 1
  • Hakima Chaouchi
    • 1
  1. 1.Telecom-Sudparis, CNRS SAMOVAR, UMR 5157, LOR departmentFrance

Personalised recommendations