Constrained Tracking on a Road Network

  • Michał Piórkowski
  • Matthias Grossglauser
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3868)


Many applications of wireless ad hoc sensor and actuator networks (WSANs) rely on the knowledge of node locations. These are challenging to obtain when nodes are mobile and are not equipped with any specific positioning hardware. In this paper, we are interested in scenarios where there are constraints on the movement of nodes, such as with cars on a road network.

We develop and analyse a tracking algorithm called MOONwalk that explicitly takes such constraints into account in order to improve the tracking precision. Furthermore, MOONwalk does not require global knowledge of the network, and therefore lends itself well to large-scale and high-mobility applications.

We evaluate the accuracy of MOONwalk by comparing it to the optimal maximum likelihood estimator, under different radio conditions and deployment scenarios. We find that MOONwalk performs well despite its localized operation.


Line Segment Wireless Sensor Network Mobile Node Road Network Receive Signal Strength 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Heidemann, J., Bulusu, N., Estrin, D.: GPS-less Low-Cost Outdoor Localization for Very Small Devices. IEEE Personal Communications 7, 28–34 (2000)Google Scholar
  2. 2.
    Niculescu, D., Nath, B.: DV Based Positioning in Ad Hoc Networks. Telecommunication Systems, 267–280 (January-April 2003)Google Scholar
  3. 3.
    Kung, H.T., Vlah, D.: Efficient Location Tracking Using Sensor Networks. In: IEEE Wireless Communications and Networking WCNC 2003, vol. 3, pp. 1954–1961 (2003)Google Scholar
  4. 4.
    He, T., Huang, C., Blum, B.M., Stankovic, J.A., Abdelzaher, T.: Range-free Localization Schemes for Large Scale Sensor Networks. In: The 9th Annual International Conference on Mobile Computing and Networking, September 2003, pp. 81–95 (2003)Google Scholar
  5. 5.
    Estrin, D., Bulusu, N., Bychkovskiy, V., Heidemann, J.: Scalable, Ad Hoc Deployable RF-based Localization. In: The Grace Hopper Celebration of Women in Computing Conference (October 2002)Google Scholar
  6. 6.
    Smith, A., Balakrishnan, H., Goraczko, M., Priyantha, N.: Tracking Moving Devices with the Cricket Location System. In: MobiSYS 2004: Proceedings of the 2nd international conference on Mobile systems, applications, and services, pp. 190–202. ACM Press, New York (2004)CrossRefGoogle Scholar
  7. 7.
    Gupta, R., Das, S.R.: Tracking Moving Targets in a Smart Sensor Network. In: IEEE Vehicular Technology Conference VTC2003-Fall, October 2003, vol. 5, pp. 3035–3039 (2003)Google Scholar
  8. 8.
    Hu, L., Evans, D.: Localization for Mobile Sensor Networks. In: MobiCom 2004: Proceedings of the 10th annual international conference on Mobile computing and networking, pp. 45–57. ACM Press, New York (2004)CrossRefGoogle Scholar
  9. 9.
    SmartPark project website,
  10. 10.
    Vehicle Information and Communication System,
  11. 11.
  12. 12.
    Tian, J., Han, L., Rothermel, K., Cseh, C.: Spatially aware packet routing for mobile ad hoc inter-vehicle radio networks. In: Proceedings of the IEEE 6th International Conference on Intelligent Transportation Systems (ITSC 2003) (October 2003)Google Scholar
  13. 13.
    Leonhardi, A., Nicu, C., Rothermel, K.: A Map-Based Dead-Reckoning Protocol for Updating Location Information. In: IPDPS 2002: Proceedings of the 16th International Parallel and Distributed Processing Symposium, Washington, DC, USA, p. 15. IEEE Computer Society, Los Alamitos (2002)Google Scholar
  14. 14.
    Jakes, W.C.: Microwave Mobile Communications. Wiley-IEEE Press (May 1994)Google Scholar
  15. 15.
    Sklar, B.: Rayleigh Fading Channels in Mobile Digital Communication Systems.I. Characterization. IEEE Communications Magazine 35, 90–100 (1997)CrossRefGoogle Scholar
  16. 16.
    Ganesan, D., Krishnamachari, B., Woo, A., Culler, D., Estrin, D., Wicker, S.: Complex Behavior at Scale: An Experimental Study of Low-Power Wireless Sensor Networks (February 2002)Google Scholar
  17. 17.
    Youssef, A., Krumm, J., Miller, E., Cermak, G., Horvitz, E.: Computing Location from Ambient FM Radio Signals. In: IEEE Wireless Communications and Networking Conference (WCNC 2005) (March 2005)Google Scholar
  18. 18.
    Hightower, J., Borriello, G.: Location Systems for Ubiquitous Computing. IEEE Computer 34, 57–66 (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Michał Piórkowski
    • 1
  • Matthias Grossglauser
    • 1
  1. 1.School of Computer and Communication SciencesEcole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland

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