Table of Contents
ISRN Communications and Networking
Volume 2011, Article ID 898123, 7 pages
http://dx.doi.org/10.5402/2011/898123
Research Article

Improving Accuracy for Range-Based Localization in Multiple Target Wireless Sensor Networks

1School of Science for Open and Environmental Systems, Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
2Department of Information and Computer Science, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan

Received 14 March 2011; Accepted 17 May 2011

Academic Editor: J.-P. Makela

Copyright © 2011 Oscar Rodríguez and Tomoaki Ohtsuki. 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. N. B. Priyantha, A. Chakraborty, and H. Balakrishnan, “The cricket location-support system,” in Proceedings of the 6th Annual International Conference on Mobile Computing and Networking (MOBICOM '00), pp. 32–43, ACM, Boston, Mass, USA, August 2000.
  2. K. Benkic, M. Malajner, P. Planinsic, and Z. Cucej, “Using rssi value for distance estimation in wireless sensor networks based on zigbee,” in Proceedings of the 15th Conference on Systems, Signals and Image Processing, pp. 303–306, 2008.
  3. P.-C. Chen, “A non-line-of-sight error mitigation algorithm in location estimation,” in Proceedings of the IEEE Wireless Communications and Networking Conference, vol. 1, pp. 316–320, 1999.
  4. Y. Nishi and T. Ohtsuki, “A distributed localization with unknown attenuation coefficient in wireless sensor networks,” in Proceedings of the 14th Asia-Pacific Conference on Communications, pp. 1–5, Tokyo, Japan, October 2008.
  5. D. Reid, “An algorithm for tracking multiple targets,” IEEE Transactions on Automatic Control, vol. 24, no. 6, pp. 843–854, 1979. View at Google Scholar
  6. H.-S. Ahn and W. Yu, “Environmental-adaptive rssi-based indoor localization,” IEEE Transactions on Automation Science and Engineering, vol. 6, no. 4, pp. 626–633, 2009. View at Google Scholar
  7. S. Hara, T. Ishimoto, M. Kitano, and T. Tsujioka, “A common coordinates/heading direction generation method for a robot swarm with only rssi-based ranging,” Journal on Advances in Signal Processing, pp. 1–11, 2009. View at Google Scholar
  8. J. Andersen, T. Rappaport, and S. Yoshida, “Propagation measurements and models for wireless communications channels,” IEEE Communications Magazine, vol. 33, no. 1, pp. 42–49, 1995. View at Google Scholar
  9. J. Arias, A. Zuloaga, J. L'azaro, J. Andreu, and A. Astarloa, “Malguki: an rssi based ad hoc location algorithm,” Microprocessors and Microsystems, vol. 28, no. 8, pp. 403–409, 2004. View at Google Scholar