Adaptive temporal radio maps for indoor location estimation

Proceedings - Third IEEE International Conference on Pervasive Computing and Communications, PerCom 2005

Volumn 2005, Issue , 2005, Pages 85-94

  Yin, Jie ^a   Yang, Qiang ^a   Ni, Lionel ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; PARAMETER ESTIMATION; PROBLEM SOLVING; SELF ORGANIZING MAPS; SIGNAL FILTERING AND PREDICTION; SIGNAL PROCESSING;

MOBILE DEVICES; PREDICTION MODEL; RADIO MAPS;

RADIO SYSTEMS;

EID: 33646573942     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. P. Bahl, A. Balachandran, and V. Padmanabhan. Enhancements to the RADAR user location and tracking system. Technical report, Microsoft Research, February 2000.
2. P. Bahl and V. N. Padmanabhan. RADAR: An in-building RF-based user location and tracking system. In Proceedings of IEEE INFOCOM 2000, pages 775-784, 2000.
3. E. S. Bhasker, S. W. Brown, and W. G. Griswold. Employing user feedback for fast, accurate, low-maintenance geolocationing. In Proceedings of IEEE PerCom 2004, Orlando, Florida, March 2004.
4. D. Fox, J. Hightower, E. Liao, and D. Schulz. Bayesian filtering for location estimation. IEEE Pervasive Computing, 2(3):24-33, 2002.
5. R. J. Freund and W. J. Wilson. Regression Analysis: Statistical Modeling of a Response Variable. Academic Press, 1998.
6. C. Gentile and L. K. Berndt. Robust location using system dynamics and motion constraints. In Proceedings of IEEE Conference on Communications, June 2004.
7. M. A. Golberg and H. A. Cho. Introduction to Regression Analysis. WIT Press, 2004.
8. H. Hashemi. The indoor radio propagation channel. In Proceedings of the IEEE, volume 81, pages 943-968, 1993.
9. P. Krishnan, A. Krishnakumar, W. H. Ju, C. Mallows, and S. Ganu. A system for lease: Location estimation assisted by stationary emitters for indoor rf wireless networks. In Proceedings of IEEE Infocom 2004, Hong Kong, 2004.
10. A. Ladd, K. Bekris, G. Marceau, A. Rudys, E. Kavraki, and D. Wallach. Robotics-based location sensing using wireless ethernet. In Proceedings of MOBICOM 2002, Atlanta, Georgia, USA, September 2002.
11. L. M. Ni, Y. Liu, Y. C. Lau, and A. P. Patil. LANDMARC: Indoor location sensing using active RFID. In Proceedings of IEEE PerCom 2003, Dallas, TX, USA, March 2003.
12. J. R. Quinlan. Learning with continuous classes. In Proceedings of Australian Joint Conference on Artificial Intelligence, World Scientific, Singapore, 1992.
13. T. Roos, P. Myllymaki, H. Tirri, P. Misikangas, and J. Sievanen. A probabilistic approach to WLAN user location estimation. International Journal of Wireless Information Networks, 9(3): 155-164, July 2002.
14. A. Smailagic, D. P. Siewiorek, J. Anhalt, D. Kogan, and Y. Wang. Location sensing and privacy in a context aware computing environment. Pervasive Computing, 2001.
15. I. H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, 2000.
16. J. Yin, X. Y. Chai, and Q. Yang. High-level goal recognition in a wireless LAN. In Proceedings of the Nineteenth National Conference on Artificial Intelligence (AAAI2004), San Jose, CA, USA, July 2004.
17. M. Youssef and A. Agrawala. Handling samples correlation in the horus system. In Proceedings of IEEE InfoCom 2003, Hong Kong, March 2004.
18. M. Youssef and A. Agrawala. On the optimality of WLAN location determination systems. In Communication Networks and Distributed Systems Modeling and Simulation Conference, San Diego, California, January 2004.
19. M. Youssef, A. Agrawala, and U. Shankar. WLAN location determination via clustering and probability distributions. In Proceedings of IEEE PerCom 2003, March 2003.