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RESEARCH PRODUCT

A distributed Bayesian approach to fault detection in sensor networks

Giuseppe Lo ReFabrizio MilazzoMarco Ortolani

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniPolynomialBrooks–Iyengar algorithmComputer scienceBayesian probabilityReal-time computingFault DetectionSoft sensorWireless sensor networkFault detection and isolation

description

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.

yearjournalcountryeditionlanguage
2012-12-012012 IEEE Global Communications Conference (GLOBECOM)
https://doi.org/10.1109/glocom.2012.6503184