Abstract
The paper describes design and implementation of Bayesian proprioceptor for forest fire observer network. The proprioceptor, sometimes also referred to as network observer has task of syintactical and semantical sensor and data validation in advanced sensor network Multi agent Bayesian network is used for cooperative data analysis and data understanding having false alarm reduction as final goal. A multi agent system for data sampling and data analysis is described. The proprioceptor is deployed as a part of intelligent forest fire monitoring system (iForestFire).
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Šerić, L., Štula, M., Stipaničev, D., Braović, M. (2012). Bayesian Proprioceptor for Forest Fire Observer Network. In: Jezic, G., Kusek, M., Nguyen, NT., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems. Technologies and Applications. KES-AMSTA 2012. Lecture Notes in Computer Science(), vol 7327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30947-2_5
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DOI: https://doi.org/10.1007/978-3-642-30947-2_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30946-5
Online ISBN: 978-3-642-30947-2
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