Smart Sensor Mesh: Intelligent Sensor Clusters Configuration and Location Discovery for Collaborative Information Processing

  • Tomasz M. Rutkowski
  • Yoko Yamakata
  • Koh Kakusho
  • Michihiko Minoh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3490)

Abstract

This paper discusses a concept of an intelligent self-configuration of sensors’ clusters in a grid network as an overlay on contemporary grid technologies for processing of the sensory information locally and collaboratively. An approach for information exchange among sensors with utilisation of sensor agents for later service discovery in sensor mesh is proposed. The main task of sensor agents is to localise themselves in information space from the point of view of captured sensory data and not only a geographical location, which is often unknown to the sensors. The experiments were conducted in a large scale lecture room, where several microphones and cameras were installed in order to capture students’ audiovisual activities.

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References

  1. 1.
    Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence – From Natural to Artificial Systems. Santa Fe Institute Studies in Sciences of Complexity. Oxford University Press, Inc., Oxford (1999)Google Scholar
  2. 2.
    Nishida, T.: Towards intelligent media technology for communicative intelligence. In: Bolc, L. (ed.) Proceedings of International Workshop of Intelligent Media Technology for Communicative Intelligence, PJIIT Warsaw, Poland, pp. 1–7. PJIIT Publishing House (2004)Google Scholar
  3. 3.
    Traversatm, B., Arora, A., Abdelaziz, M., Duigou, M., Haywood, C., Hugly, J.C., Pouyoul, E., Bernard, B.: Project jxta 2.0 super-peer virtual network. Technical report, Sun Microsystems, Inc. (2003)Google Scholar
  4. 4.
    Meguerdichian, S., Slijepcevic, S., Karayan, V., Potkonjak, M.: Localized algorithms in wireless ad-hoc networks: Location discovery and sensor exposure. In: Proceedings of MobiHOC 2001, pp. 106–116 (2001)Google Scholar
  5. 5.
    Lim, A.: Distributed services for information dissemination in self-organizing sensor networks. Special issue on distributed sensor networks for real-time systems with adaptive reconfiguration. Journal of Franklin Institute 338, 707–727 (2001)MATHCrossRefGoogle Scholar
  6. 6.
    Rutkowski, T.M., Yokoo, M., Mandic, D., Yagi, K., Kameda, Y., Kakusho, K., Minoh, M.: Identification and tracking of active speaker’s position in noisy environments. In: Proceedings of International Workshop on Acoustic Echo and Noise Control (IWAENC 2003), Kyoto, Japan, pp. 283–286 (2003)Google Scholar
  7. 7.
    Bonabeau, E., Dorigo, M., Theraulaz, G.: Inspiration for optimization from social insect behaviour. Nature 406, 39–42 (2000)CrossRefGoogle Scholar
  8. 8.
    Hoen, P.J., Bohte, S.M.: COllective iNtelligence with sequences of actions. In: Lavrač, N., Gamberger, D., Todorovski, L., Blockeel, H. (eds.) ECML 2003. LNCS (LNAI), vol. 2837, pp. 181–192. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  9. 9.
    Everest, F.A.: Master Handbook of Acoustics, 4th edn. McGraw-Hill, New York (2001)Google Scholar
  10. 10.
    Gustafsson, H., Nordholm, S.E., Claesson, I.: Spectral subtraction using reduced delay convolution and adaptive averaging. IEEE Transactions on Speech and Audio Processing 9, 799–807 (2001)CrossRefGoogle Scholar
  11. 11.
    Becchetti, C., Ricotti, L.P.: Speech Recognition. John Wiley & Sons, Inc., Great Britain (1999)Google Scholar
  12. 12.
    Furui, S.: Digital Speech Processing, Synthesis, and Recognition (Revised and Expanded). Signal Processing and Communications Series, 2nd edn., Marcell Dekker, Inc., New York (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Tomasz M. Rutkowski
    • 1
  • Yoko Yamakata
    • 1
  • Koh Kakusho
    • 1
  • Michihiko Minoh
    • 1
  1. 1.Academic Center for Computing and Media StudiesKyoto UniversityKyotoJapan

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