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In-network approximate computation of outliers with quality guarantees

Giatrakos Nikolaos, Kotidis, Ioannis, Deligiannakis Antonios, Vassalos, Vasilis, Theodoridis, Yannis, 1967-

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URIhttp://purl.tuc.gr/dl/dias/05CFD94D-060C-4210-8DC9-FFED71690166-
Identifierhttp://www.sciencedirect.com/science/article/pii/S0306437911001116-
Identifierhttps://doi.org/10.1016/j.is.2011.08.005-
Languageen-
Extent24 pagesen
TitleIn-network approximate computation of outliers with quality guaranteesen
CreatorGiatrakos Nikolaosen
CreatorΓιατρακος Νικολαοςel
CreatorKotidis, Ioannisen
CreatorDeligiannakis Antoniosen
CreatorΔεληγιαννακης Αντωνιοςel
CreatorVassalos, Vasilisen
CreatorTheodoridis, Yannis, 1967-en
PublisherElsevieren
Content SummaryWireless sensor networks are becoming increasingly popular for a variety of applications. Users are frequently faced with the surprising discovery that readings produced by the sensing elements of their motes are often contaminated with outliers. Outlier readings can severely affect applications that rely on timely and reliable sensory data in order to provide the desired functionality. As a consequence, there is a recent trend to explore how techniques that identify outlier values based on their similarity to other readings in the network can be applied to sensory data cleaning. Unfortunately, most of these approaches incur an overwhelming communication overhead, which limits their practicality. In this paper we introduce an in-network outlier detection framework, based on locality sensitive hashing, extended with a novel boosting process as well as efficient load balancing and comparison pruning mechanisms. Our method trades off bandwidth for accuracy in a straightforward manner and supports many intuitive similarity metrics. Our experiments demonstrate that our framework can reliably identify outlier readings using a fraction of the bandwidth and energy that would otherwise be required.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-01-
Date of Publication2013-
SubjectSensor networken
SubjectOutlieren
Subject Locality sensitive hashingen
SubjectSimilarityen
Bibliographic CitationN. Giatrakos, Y. Kotidis, A. Deligiannakis, V. Vassalos and Y. Theodoridis, "In-network approximate computation of outliers with quality guarantees," Inform. Syst., vol. 38, no. 8, pp. 1285-1308, Nov. 2013. doi:10.1016/j.is.2011.08.005en

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