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Mobile sensor localization and navigation using RF doppler shifts

Published:19 September 2008Publication History

ABSTRACT

Many wireless sensor network applications require knowledge of node placement in order to make sense of sensor data in a spatial context. Networks of mobile sensors require position updates for navigation through the sensing region. The global positioning system is able to provide localization information, however in many situations it cannot be relied on, and alternative localization methods are required. We propose a technique for the localization and navigation of a mobile robot that uses the Doppler-shift in frequency observed by stationary sensor nodes. Our experimental results show that, by using observed RF Doppler shifts, a robot is able to navigate through a sensing region with an average localization error of 1.68 meters.

References

  1. G. Wang, G. Cao, T. Porta, and W. Zhang, "Sensor relocation in mobile sensor networks," in IEEE INFOCOM, 2005.Google ScholarGoogle Scholar
  2. S. Gandham, M. Dawande, R. Prakash, and S. Venkatesan, "Energy efficient schemes for wireless sensor networks with multiple mobile base stations," in IEEE Global Telecommunications Conference (GLOBECOM), 2003.Google ScholarGoogle Scholar
  3. R. Shah, S. Roy, S. Jain, and W. Brunette, "Data mules: modeling a three-tier architecture for sparse sensor networks," in Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003.Google ScholarGoogle Scholar
  4. S. Bergbreiter and K. S. J. Pister, "CotsBots: An off-the-shelf platform for distributed robotics," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2003.Google ScholarGoogle Scholar
  5. K. Dantu, M. Rahimi, H. Shah, S. Babel, A. Dhariwal, and G. S. Sukhatme, "Robomote: enabling mobility in sensor networks," in The Fourth International Symposium on Information Processing in Sensor Networks (IPSN), 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. J. Friedman, D. C. Lee, I. Tsigkogiannis, S. Wong, D. Chao, D. Levin, W. J. Kaisera, and M. B. Srivastava, "Ragobot: A new platform for wireless mobile sensor networks," in International Conference on Distributed Computing in Sensor Systems (DCOSS), 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Pioneer P3-DX. MobileRobots. {Online}. Available: http://www.activrobots.com/ROBOTS/p2dx.htmlGoogle ScholarGoogle Scholar
  8. J. Hightower and G. Borriello, "Location systems for ubiquitous computing," Computer, vol. 34, no. 8, pp. 57--66, 2001 Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. F. Gustafsson and F. Gunnarsson, "Mobile positioning using wireless networks," IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 41--53, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  10. P. Bahl and V. N. Padmanabhan, "RADAR: An in-building RF-based user location and tracking system," in IEEE INFOCOM, 2000.Google ScholarGoogle Scholar
  11. A. Haeberlen, E. Flannery, A. M. Ladd, A. Rudys, D. S. Wallach, and L. E. Kavraki, "Practical robust localization over large-scale 802.11 wireless networks," in ACM International Conference on Mobile Computing and Networking (MOBICOM), 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. A. Smith, H. Balakrishnan, M. Goraczko, and N. Priyantha, "Tracking moving devices with the Cricket location system," In Proc. of MobiSys, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. M. Maroti, B. Kusy, G. Balogh, P. Volgyesi, A. Nadas, K. Molnar, S. Dora, and A. Ledeczi, "Radio interferometric geolocation," in The 3rd ACM Conference on Embedded Networked Sensor Systems (SenSys), 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. B. Kusy, A. Ledeczi, and X. Koutsoukos, "Tracking mobile nodes using RF doppler shifts," in The 5th ACM Conference on Embedded Networked Sensor Systems (SenSys), 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. A. Ledeczi, P. Volgyesi, J. Sallai, B. Kusy, X. Koutsoukos, and M. Maroti, "Towards precise indoor RF localization," in HotEmNets, 2008.Google ScholarGoogle Scholar
  16. B. Kusy, P. Dutta, P. Levis, M. Maroti, A. Ledeczi, and D. Culler, "Elapsed time on arrival: A simple and versatile primitive for time synchronization services," International Journal of Ad hoc and Ubiquitous Computing, vol. 2, no. 1, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. G. Welch and G. Bishop, "An introduction to the Kalman filter," Department of Computer Science, University of North Carolina at Chapel Hill, Tech. Rep. TR 95-041, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. P. Dutta, M. Grimmer, A. Arora, S. Bibyk, and D. Culler, "Design of a wireless sensor network platform for detecting rare, random, and ephemeral events," in The Fourth International Symposium on Information Processing in Sensor Networks (IPSN), 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library

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      • Published in

        cover image ACM Conferences
        MELT '08: Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments
        September 2008
        142 pages
        ISBN:9781605581897
        DOI:10.1145/1410012

        Copyright © 2008 ACM

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        Publication History

        • Published: 19 September 2008

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