Scalable and Low-Cost Acoustic Source Localization for Wireless Sensor Networks

  • YoungBin You
  • HoJung Cha
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4159)


Typical applications of wireless sensor networks require scalability because they are deployed in a large area. Conventional centralized systems for acoustic source localization experience practical difficulties since they focus on high accuracy in a small area rather than scalability in a large region. In this paper, we present a scalable and light-weight acoustic source localization system suitable for use with resource constrained hardware. The distributed mechanism has low complexity and an error-tolerant algorithm for construction of a feasible system in a real environment. The proposed system has been implemented and validated by experiments in a real environment.


Wireless Sensor Network Cluster Head Acoustic Signal Sensor Device Source Position 
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.
    Li, D., Hu, Y.H.: Energy-Based Collaborative Source Localization Using Acoustic Microsensor Array. Journal of EURASIP on Applied Signal Processing 4, 321–337 (2003)CrossRefGoogle Scholar
  2. 2.
    Li, D., Wong, K.D., Hu, Y.H., Sayeed, A.M.: Detection, Classification, and Tracking of Targets. IEEE Signal Processing Magazine 19, 17–29 (2002)Google Scholar
  3. 3.
    Sheng, X., Hu, Y.H.: Maximum Likelihood Wireless Sensor Network Source Localization Using Acoustic Signal Energy Measurements. IEEE Transaction on Signal Processing 53(1) (2005)Google Scholar
  4. 4.
    Chen, et al.: Coherent Acoustic Array Processing and Localization on Wireless Sensor Networks. Proceedings of IEEE 91(8) (2003)Google Scholar
  5. 5.
    Hawkes, M., Nehorai, A.: Wideband Source Localization using a Distributed Acoustic Vector-Sensor Array. IEEE Transaction Signal Processing 51, 1479–1491 (2003)CrossRefMathSciNetGoogle Scholar
  6. 6.
    Shirahama, J., Ohtsuki, T., Kaneko, T.: Low Complexity Source Localization Algorithms in Sensor Networks. In: Proceedings of the 2nd ACM International Workshop on Performance Evaluation of Wireless Ad hoc, Sensor, and Ubiquitous Networks (2005)Google Scholar
  7. 7.
    Johnston, B., Yin, X., Valenzuela, A., Frantz, P.: A Fast Algorithm and Testbed Evaluation for Sound Source Localization Using Sensor Networks. In: Proceedings of IEEE Vehicular Technology Conference (2005)Google Scholar
  8. 8.
    Lédeczi, A., Volgyesi, P., Maroti, M., et al.: Multiple Simultaneous Acoustic Source Localization in Urban Terrain. In: Proceedings of the 4th Workshop on Information Processing in Sensor Networks (2005)Google Scholar
  9. 9.
    Simon, G., et al.: Sensor Network-based Countersniper System. In: Proceedings of the 2nd ACM Conference on Embedded Networked Sensor Systems (2004)Google Scholar
  10. 10.
    Wang, Q., Chen, W.P., Zheng, R., Lee, K., Sha, L.: Acoustic Target Tracking Using Tiny Wireless Sensor Devices. In: Proceedings of the 2nd Workshop on Information Processing in Sensor Networks (2003)Google Scholar
  11. 11.
    Chen, W.P., Hou, C.J., Sha, L.: Dynamic clustering for acoustic target tracking in wireless sensor networks. In: Proceedings of IEEE International Conference on Network Protocols (2003)Google Scholar
  12. 12.
    Hu, W., Tran, V.N., Bulusu, N., Chou, C.T., Jha, S., Taylor, A.: The Design and Evaluation of a Hybrid Sensor Network For Cane-toad Monitoring. In: Proceedings of the 4th Workshop on Information Processing in Sensor Networks (2005)Google Scholar
  13. 13.
  14. 14.
    Fisher, R.A.: On the mathematical foundations of theoretical statistics. Philos. Trans. Roy. Soc. London Ser. A (1922)Google Scholar
  15. 15.
    Rabbat, M.G., Nowak, R.D.: Decentralized Source Localization and Tracking. In: Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 921–924 (2004)Google Scholar
  16. 16.
  17. 17.
    Maróti, M., Kusy, B., Simon, G., Ledeczi, A.: The Flooding Time Synchronization Protocol. In: Proceedings of the 2nd ACM Conference on Embedded Networked Sensor Systems (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • YoungBin You
    • 1
  • HoJung Cha
    • 1
  1. 1.Department of Computer ScienceYonsei UniversitySeoulKorea

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