Sensor networks are widely used in industrial and academic applications as the pervasive sensing module of an intelligent system. Sensor nodes may occasionally produce incorrect measurements due to battery depletion, dust on the sensor, manumissions and other causes. The aim of this paper is to develop a distributed Bayesian fault detection algorithm that classifies measurements coming from the network as corrupted or not. The computational complexity is polynomial so the algorithm scales well with the size of the network. We tested the approach on a synthetic dataset and obtained significant results in terms of correctly labeled measurements.
LO RE, G., Milazzo, F., & Ortolani, M. (2012). A Distributed Bayesian Approach to Fault Detection in Sensor Networks. In 2012 IEEE Global Communications Conference (GLOBECOM 2012) (pp.634-639) [10.1109/GLOCOM.2012.6503184].
Autori: | LO RE, G.; Milazzo, F.; Ortolani, M. | |
Titolo: | A Distributed Bayesian Approach to Fault Detection in Sensor Networks | |
Settore Scientifico Disciplinare: | Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni | |
Data di creazione: | 2012 | |
Nome del convegno: | IEEE Global Communications Conference (GLOBECOM), 2012 | |
Luogo del convegno: | Anaheim, California, USA | |
Anno del convegno: | 3-7, Dec., 2012 | |
Data di pubblicazione: | 2012 | |
Numero di pagine: | 6 | |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/GLOCOM.2012.6503184 | |
Citazione: | LO RE, G., Milazzo, F., & Ortolani, M. (2012). A Distributed Bayesian Approach to Fault Detection in Sensor Networks. In 2012 IEEE Global Communications Conference (GLOBECOM 2012) (pp.634-639) [10.1109/GLOCOM.2012.6503184]. | |
Tipologia: | 0 - Proceedings (TIPOLOGIA NON ATTIVA) | |
Appare nelle tipologie: | 0 - Proceedings (TIPOLOGIA NON ATTIVA) |
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