Macro programming a spatial computer is the ability to specify application tasks at a global level while relying on compiler-like software to translate the global tasks into the individual component activities. Bayesian networks can be regarded as a powerful tool for macro programming a spatial computer, such as a dense sensor network, in a variety of data analysis applications. In this article we present our architecture to program a spatial computer by means of a distributed Bayesian network and present some applications we developed over a sensor network testing both inference and anomaly-detection analysis.
Macro Programming a Spatial Computer with Bayesian Networks / Mamei, Marco. - In: ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS. - ISSN 1556-4665. - STAMPA. - 6:2(2011), pp. 1-25. [10.1145/1968513.1968519]
Macro Programming a Spatial Computer with Bayesian Networks
MAMEI, Marco
2011
Abstract
Macro programming a spatial computer is the ability to specify application tasks at a global level while relying on compiler-like software to translate the global tasks into the individual component activities. Bayesian networks can be regarded as a powerful tool for macro programming a spatial computer, such as a dense sensor network, in a variety of data analysis applications. In this article we present our architecture to program a spatial computer by means of a distributed Bayesian network and present some applications we developed over a sensor network testing both inference and anomaly-detection analysis.File | Dimensione | Formato | |
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