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PERCOM
2007
ACM

Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection

10 years 9 months ago
Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection
Macro programming a distributed system, such as a sensor network, 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 distributed system in a variety of data analysis applications. In this paper we present our architecture to program a sensor network by means of Bayesian networks. We also present some applications developed on a microphone-sensor network, that demonstrate calibration, classification and anomaly detection.
Marco Mamei, Radhika Nagpal
Added 24 Dec 2009
Updated 24 Dec 2009
Type Conference
Year 2007
Where PERCOM
Authors Marco Mamei, Radhika Nagpal
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