A Distributed Bayesian Approach to Fault Detection in Sensor Networks

Research output: Contribution to conferenceOther

9 Citations (Scopus)


Sensor networks are widely used in industrial and academic applications as the pervasive sensing module of anintelligent 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.
Original languageEnglish
Number of pages6
Publication statusPublished - 2012

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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