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Location-Free Object Tracking on Graph Structures

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5279))

Abstract

Using wireless sensor networks for object tracking requires ordering events with regard to time and location. In labyrinth-shaped topologies, one-dimensional ordering suffices within the different sections of the network. We present an algorithm that decomposes the network into such sections, tracks objects within using binary sensors and, if required, hands them over to the next section. We evaluate our approach through extensive simulations and show that it is robust against sensor failures and packet loss.

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References

  1. Buschmann, C., Fekete, S.P., Fischer, S., Kröller, A., Pfisterer, D.: Koordinatenfreies Lokationsbewusstsein (Localization without Coordinates). IT - Information Technology, Themenheft Sensornetze 47(4) (April 2005)

    Google Scholar 

  2. Kröller, A., Fekete, S.P., Pfisterer, D., Fischer, S.: Deterministic boundary recognition and topology extraction for large sensor networks. In: Seventeenth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2006) (2006)

    Google Scholar 

  3. Chellappa, R., Qian, G., Zheng, Q.: Vehicle detection and tracking using acoustic and video sensors. In: 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, May 17-21, 2004, vol. 3, pp. 793–796. IEEE, Los Alamitos (2004)

    Chapter  Google Scholar 

  4. Pahalawatta, P.V., Depalov, D., Pappas, T.N., Katsaggelos, A.K.: Detection, classification, and collaborative tracking of multiple targets using video sensors. In: Zhao, F., Guibas, L.J. (eds.) IPSN 2003. LNCS, vol. 2634, pp. 529–544. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  5. Aslam, J.A., Butler, Z.J., Constantin, F., Crespi, V., Cybenko, G., Rus, D.: Tracking a moving object with a binary sensor network. In: Akyildiz, I.F., Estrin, D., Culler, D.E., Srivastava, M.B. (eds.) SenSys., pp. 150–161. ACM, New York (2003)

    Google Scholar 

  6. Kim, W., Mechitov, K., Choi, J.Y., Ham, S.K.: On target tracking with binary proximity sensors. In: IPSN, pp. 301–308. IEEE, Los Alamitos (2005)

    Google Scholar 

  7. Shrivastava, N., Mudumbai, R., Madhow, U., Suri, S.: Target tracking with binary proximity sensors: fundamental limits, minimal descriptions, and algorithms. In: Campbell, A.T., Bonnet, P., Heidemann, J.S. (eds.) SenSys, pp. 251–264. ACM, New York (2006)

    Chapter  Google Scholar 

  8. Arora, A., Dutta, P., Bapat, S., Kulathumani, V., Zhang, H., Naik, V., Mittal, V., Cao, H., Demirbas, M., Gouda, M.G., ri Choi, Y., Herman, T., Kulkarni, S.S., Arumugam, U., Nesterenko, M., Vora, A., Miyashita, M.: A line in the sand: a wireless sensor network for target detection, classification, and tracking. Computer Networks 46(5), 605–634 (2004)

    Article  Google Scholar 

  9. Singh, J., Madhow, U., Kumar, R., Suri, S., Cagley, R.: Tracking multiple targets using binary proximity sensors. In: Abdelzaher, T.F., Guibas, L.J., Welsh, M. (eds.) IPSN, pp. 529–538. ACM, New York (2007)

    Chapter  Google Scholar 

  10. Liao, L., Fox, D., Hightower, J., Kautz, H., Schulz, D.: Voronoi tracking: Location estimation using sparse and noisy sensor data (2003)

    Google Scholar 

  11. Oh, S., Sastry, S.: Tracking on a graph. In: IPSN, pp. 195–202. IEEE, Los Alamitos (2005)

    Google Scholar 

  12. Viterbi, A.: Error bounds for convolutional codes and an asymptotically optimum decoding algorithm. IEEE Transactions on Information Theory 13(2), 260–296 (1967)

    Article  MATH  Google Scholar 

  13. Buschmann, C., Hellbrück, H., Fischer, S., Kröller, A., Fekete, S.: Radio propagation-aware distance estimation based on neighborhood comparison. In: Proceedings of the 14th European conference on Wireless Sensor Networks (EWSN 2007), Delft, The Netherlands (January 2007)

    Google Scholar 

  14. Blinded

    Google Scholar 

  15. Setubal, J., Meidanis, J.: Introduction to computational molecular biology. PWS Publishing Company, Setubal (1997)

    Google Scholar 

  16. Kröller, A., Pfisterer, D., Buschmann, C., Fekete, S.P., Fischer, S.: Shawn: A new approach to simulating wireless sensor networks. In: Design, Analysis, and Simulation of Distributed Systems 2005, Part of the SpringSim 2005 (April 2005)

    Google Scholar 

  17. Zhou, G., He, T., Krishnamurthy, S., Stankovic, J.A.: Impact of radio irregularity on wireless sensor networks. In: MobiSys 2004: Proceedings of the 2nd international conference on Mobile systems, applications, and services, pp. 125–138. ACM Press, New York (2004)

    Google Scholar 

  18. Hellbrück, H., Fischer, S.: Towards analysis and simulation of ad-hoc networks. In: Proceedings of the 2002 International Conference on Wireless Networks (ICWN 2002), Las Vegas, Nevada, USA, pp. 69–75. IEEE Computer Society Press, Los Alamitos (2002)

    Google Scholar 

  19. Xue, F., Kumar, P.R.: The number of neighbours needed for connectivity of wireless networks. IEEE Wireless Networks 10(2), 169–181 (2004)

    Article  Google Scholar 

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Krüger, D., Buschmann, C., Fischer, S. (2008). Location-Free Object Tracking on Graph Structures. In: Roggen, D., Lombriser, C., Tröster, G., Kortuem, G., Havinga, P. (eds) Smart Sensing and Context. EuroSSC 2008. Lecture Notes in Computer Science, vol 5279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88793-5_8

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  • DOI: https://doi.org/10.1007/978-3-540-88793-5_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88792-8

  • Online ISBN: 978-3-540-88793-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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