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International Journal of Navigation and Observation
Volume 2012 (2012), Article ID 961785, 11 pages
http://dx.doi.org/10.1155/2012/961785
Research Article

Outlier-Detection-Based Indoor Localization System for Wireless Sensor Networks

Department of Electrical Engineering, National Cheng Kung University, Tainan 70101, Taiwan

Received 15 August 2011; Revised 21 December 2011; Accepted 6 February 2012

Academic Editor: Olivier Julien

Copyright © 2012 Yu-Chi Chen and Jyh-Ching Juang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. S. Phoha, T. LaPorta, and C. Griffin, Eds., Sensor Network Operations, John Wiley & Sons, 2006.
  2. R. Mannings, Ubiquitous Positioning, Artech House, 2008.
  3. A. Bensky, Wireless Positioning: Technologies and Applications, Artech House, 2008.
  4. G. Mao, B. Fidan, and B. D. O. Anderson, “Wireless sensor network localization techniques,” Computer Networks, vol. 51, no. 10, pp. 2529–2553, 2007. View at Publisher · View at Google Scholar · View at Scopus
  5. R. Want, A. Hopper, V. Falcao, and J. Gibbons, “Active badge location system,” ACM Transactions on Information Systems, vol. 10, no. 1, pp. 91–102, 1992. View at Publisher · View at Google Scholar · View at Scopus
  6. N. B. Priyantha, A. Chakraborty, and H. Balakrishnan, “Cricket location-support system,” in Proceedings of the 6th Annual International Conference on Mobile Computing and Networking (MOBICOM'00), pp. 32–43, August 2000. View at Scopus
  7. P. Bahl, A. Balachandran, and V. Padmanabhan, “RADAR: an in-building user location and tracking system,” in Proceedings of the IEEE Computer and Communications, vol. 2, pp. 775–784, 2000.
  8. J. C. Juang, T. K. Weng, P. V. Cuong, C. Y. Hsu, Y. H. Lee, and S. H. Su, “Experimental assessment of wireless sensor network localization techniques,” in Proceedings of the 10th International Conference on Control, Automation, Robotics and Vision, Hanoi, Vietnam, 2008.
  9. J. C. Juang, Y. C. Chen, W. C. Sun, C. L. Chu, and J. C. Wang, “Development of an RSS-based sensor network localization method: a kriging approach,” in Proceedings of the 5th Workshop on Ad Hoc and Sensor Networks, Hsinchu, Taiwan, 2009.
  10. Y. Shang, W. Ruml, Y. Zhang, and M. Fromherz, “Localization from connectivity in sensor networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 15, no. 11, pp. 961–974, 2004. View at Publisher · View at Google Scholar · View at Scopus
  11. I. Borg and P. Groenen, Modern Multidimensional Scaling, Theory and Applications, Springer, New York, NY, USA, 1997.
  12. S. J. Benson, Y. Ye, and X. Zhang, “Solving large-scale sparse semidefinite programs for combinatorial optimization,” SIAM Journal on Optimization, vol. 10, no. 2, pp. 443–461, 2000. View at Scopus
  13. D. Niculescu and B. Nath, “DV Based positioning in Ad Hoc networks,” Telecommunication Systems, vol. 22, no. 1–4, pp. 267–280, 2003. View at Publisher · View at Google Scholar · View at Scopus
  14. S. Ito and N. Kawaguchi, “Bayesian based location estimation system using wireless LAN,” in Proceedings of the 3rd IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom'05), pp. 273–278, March 2005. View at Publisher · View at Google Scholar · View at Scopus
  15. T. Roos, P. Myllymäki, H. Tirri, P. Misikangas, and J. Sievänen, “A Probabilistic Approach to WLAN User Location Estimation,” International Journal of Wireless Information Networks, vol. 9, no. 3, pp. 155–164, 2002. View at Publisher · View at Google Scholar · View at Scopus
  16. V. J. Hodge and J. Austin, “A survey of outlier detection methodologies,” Artificial Intelligence Review, vol. 22, no. 2, pp. 85–126, 2004. View at Publisher · View at Google Scholar · View at Scopus
  17. R. K. Pearson, “Outliers in process modeling and identification,” IEEE Transactions on Control Systems Technology, vol. 10, no. 1, pp. 55–63, 2002. View at Publisher · View at Google Scholar · View at Scopus
  18. Y. Zhang, N. Meratnia, and P. Havinga, “Outlier detection techniques for wireless sensor networks: a survey,” IEEE Communication Surveys & Tutorials, vol. 12, no. 2, 2010.
  19. L. Davies and U. Gather, “The identification of multiple outliers,” Journal of the American Statistical Association, vol. 88, pp. 782–801, 1993.
  20. S. Subramaniam, T. Palpanas, D. Papadopoulos, V. Kalogeraki, and D. Gunopulos, “Online outlier detection in sensor data using non-parametric models,” in Proceedings of the 32nd International Conference on Very Large Databases, 2006.
  21. D. Scott, Multivariate Density Estimation: Theory, Practice and Visualization, Wiley & Sons, 1992.
  22. “Texas Instrument, CC2431:System-on-Chip (SoC) Solution for ZigBee/IEEE802.15.4 Wireless Sensor Network Datasheet,” http://focus.ti.com/docs/prod/folders/print/cc2431.html.
  23. “ZigBee Alliance, ZigBee Specifications,” Tech. Rep. 053474r06, version 1.0, 2005, http://www.zigbee.org/.