Fuzzy data fusion for fault detection in wireless sensor networks.

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dc.contributor.author Shell, Jethro
dc.contributor.author Coupland, Simon
dc.contributor.author Goodyer, E. N.
dc.date.accessioned 2011-01-05T12:25:18Z
dc.date.available 2011-01-05T12:25:18Z
dc.date.issued 2010
dc.identifier.citation Shell, J. Coupland, S. and Goodyer, E. (2010) Fuzzy data fusion for fault detection in wireless sensor networks. 2010 UK Workshop on Computational Intelligence, UKCI 2010, Article number 5625598 en
dc.identifier.isbn 9781424487752
dc.identifier.uri http://hdl.handle.net/2086/4492
dc.description.abstract Wireless Sensor Networks (WSN) can produce decisions that are unreliable due to the large inherent uncertainties in the areas which they are deployed. It is vital for the applications where WSN's are deployed that accurate decisions can be made from the data produced. Fault detection is a vital pursuit, however it is a challenging task. In this paper we present a fuzzy logic data fusion approach to fault detection within a Wireless Sensor Network using a Statistical Process Control and a clustered covariance method. Through the use of a fuzzy logic data fusion approach we have introduced a novel technique into this area to reduce uncertainty and false-positives within the fault detection process.
dc.language.iso en en
dc.publisher IEEE en
dc.title Fuzzy data fusion for fault detection in wireless sensor networks. en
dc.type Conference en
dc.identifier.doi http://dx.doi.org/10.1109/UKCI.2010.5625598
dc.researchgroup DIGITS en
dc.researchgroup Centre for Computational Intelligence en


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