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2008 IEEE 24th International Conference on Data Engineering (2008)
Cancun, Mexico
Apr. 7, 2008 to Apr. 12, 2008
ISBN: 978-1-4244-1836-7
pp: 1448-1450
Antonios Deligiannakis , Department of Informatics, University of Athens, Athens, Greece. adeli@di.uoa.gr
Vassilis Stoumpos , Department of Informatics, University of Athens, Athens, Greece. stoumpos@di.uoa.gr
Yannis Kotidis , Department of Informatics, Athens University of Economics and Business, Athens, Greece. kotidis@aueb.gr
Vasilis Vassalos , Department of Informatics, Athens University of Economics and Business, Athens, Greece. vassalos@aueb.gr
Alex Delis , Department of Informatics, University of Athens, Athens, Greece. ad@di.uoa.gr
ABSTRACT
In this paper we discuss a robust aggregation framework that can detect spurious measurements and refrain from incorporating them in the computed aggregate values. Our framework can consider different definitions of an outlier node, based on a specified minimum support. Our experimental evaluation demonstrates the benefits of our approach.
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CITATION

Y. Kotidis, A. Delis, A. Deligiannakis, V. Vassalos and V. Stoumpos, "Outlier-Aware Data Aggregation in Sensor Networks," 2008 IEEE 24th International Conference on Data Engineering(ICDE), Cancun, Mexico, 2008, pp. 1448-1450.
doi:10.1109/ICDE.2008.4497585
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