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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 55))

Abstract

An intelligent Visual Sensor Network (VSN) should consist of autonomous visual sensors, which exchange information with each other and have reasoning capabilities. The information exchanged must be fused and delivered to the end user as one unit. In this paper, we investigate the use of the Multi-Agent paradigm to enhance the fusion process in a VSN. A key issue in a VSN is to determine which information to exchange between nodes, what data to fuse and what information to present to the final user. These issues are investigated and reported in this paper and the benefits of an agent based VSN are also presented. The aim of the paper is to report how the multi-agent architecture contributes to solving VSNs problems. A real prototype of an intelligent VSN using the Multi-Agent paradigm has been implemented with the objective to enhance the data fusion process.

This work was supported in part by Projects CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02-02/TEC, SINPROB, CAM MADRINET S-0505/TIC/0255 and DPS2008-07029-C02-02.

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Castanedo, F., García, J., Patricio, M.A., Molina, J.M. (2009). Designing a Visual Sensor Network Using a Multi-agent Architecture. In: Demazeau, Y., Pavón, J., Corchado, J.M., Bajo, J. (eds) 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2009). Advances in Intelligent and Soft Computing, vol 55. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00487-2_46

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  • DOI: https://doi.org/10.1007/978-3-642-00487-2_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00486-5

  • Online ISBN: 978-3-642-00487-2

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