Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.5555/1714810.1715014guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

A collaborative method for the localization of wireless sensor network

Published: 17 June 2009 Publication History

Abstract

Accurate and low-cost sensor localization is a critical requirement for the deployment of wireless sensor networks in a wide variety of applications. This paper presents a new method for the localization of a Wireless Sensor Network (WSN) by means of collaboration with a robot, using both Monte Carlo and Kalman Filtering techniques. The proposed methods are demonstrated in a laboratory environment where stationary camera nodes self-localized in real-time by observing Pioneer robots moving about within their field of view. The robots take observations of surveyed beacons in the environment and provide estimates of their poses to the rest of the network. The paper includes several implementation aspects and experimental results.

References

[1]
Estrin, Girod, Pottie, and Srivastava, "Instrumenting the world with wireless sensor networks," in International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2001), Salt Lake City, Utah, May 2001, 2001, pp. 2033-2036.
[2]
H. Qi, S. S. Iyengar, and K. Chakrabarty, "Distributed sensor networks - a review of recent research," Journal of the Franklin Institute, pp. 655-668, 2001.
[3]
H. Durrant-Whyte and M. Stevens, "Data fusion in decentralized sensing networks," in 4th International Conference on Information Fusion, 2001, pp. 302-307.
[4]
N. Bulusu, J. Heidemann, D. Estrin, GPS-less low-cost outdoor localization for very small devices, IEEE Personal Communications 7 (5) (2000) 28-34.
[5]
N. Patwari, A.O. Hero, Using proximity and quantized RSS for sensor localization in wireless networks, in: Proc. of the 2nd ACM international conference on Wireless sensor networks and applications, WSNA 2003, ACM Press, New York, NY, USA, 2003.
[6]
M. Terwilliger, A.G.V. Bhuse, Z.H. Kamal, M.A. Salahuddin, A localization system using wireless sensor networks: A comparison of two techniques, in: Proc. of the First Workshop on Positioning, Navigation and Communication, Hannover, Germany, 2004.
[7]
I. Rekleitis, D. Meger, G. Dudek, Simultaneous planning, localization, and mapping in a camera sensor network, Robotics and Autonomous Systems 54 (11) (2006) 921-932.
[8]
P. Dang, F.L. Lewis, D.O. Popa, Dynamic localization of air-ground wireless sensor networks, in: Proceeding of the 14th Mediterranean Conference on Control and Automation, 2006.
[9]
S. Thrun, D. Fox, W. Burgard, and F. Dellaert, "Robust monte carlo localization for mobile robots," Artificial Intelligence, vol. 128, no. 1-2, pp. 99-141, 2001.
[10]
C. Andrieu, N. de Freitas, A. Doucet, and M. Jordan, "An introductionto mcmc for machine learning," Machine Learning, pp. 5-43, 2003.
[11]
S. Thrun, "Particle filters in robotics," in Proceedings of the 17th Annual Conference on Uncertainty in AI (UAI), 2002.
[12]
S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for on-line non-linear/non-gaussian bayesian tracking," IEEE Transactions on Signal Processing, vol. 50, no. 2, pp. 174-188, Feb. 2002.
[13]
Arulampalam S, Maskell S, Gordon N, and Clapp T. A tutorial on particle filters for on-line non-linear/ non-Gaussian Bayesian tracking. IEEE Transactions on Signal Processing, 2001.
[14]
Montemerlo M, Thrun S, and Whittaker W. Conditional particle filters for simultaneous mobile robot localization and people-tracking. In Proc. of the IEEE International Conference on Robotics & Automation, 2002.
[15]
D. Scott, Multivariate Density Estimation: Theory, Practice and Visualization. John Wiley and Sons, Inc., 1992.

Index Terms

  1. A collaborative method for the localization of wireless sensor network
      Index terms have been assigned to the content through auto-classification.

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image Guide Proceedings
      CCDC'09: Proceedings of the 21st annual international conference on Chinese control and decision conference
      June 2009
      6219 pages
      ISBN:9781424427222

      Publisher

      IEEE Press

      Publication History

      Published: 17 June 2009

      Author Tags

      1. filtering techniques
      2. sensor localization
      3. wireless sensor networ

      Qualifiers

      • Article

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • 0
        Total Citations
      • 0
        Total Downloads
      • Downloads (Last 12 months)0
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 15 Oct 2024

      Other Metrics

      Citations

      View Options

      View options

      Get Access

      Login options

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media