Outlier-aware data aggregation in sensor networks

Antonios Deligiannakis; Vassilis Stoumpos; Yannis Kotidis; Vasilis Vassalos; Alex Delis

doi:10.1109/ICDE.2008.4497585

Outlier-aware data aggregation in sensor networks

Antonios Deligiannakis, Vassilis Stoumpos, Yannis Kotidis, Vasilis Vassalos, Alex Delis

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Proceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08
Pages	1448-1450
Number of pages	3
DOIs	https://doi.org/10.1109/ICDE.2008.4497585
State	Published - 2008
Event	2008 IEEE 24th International Conference on Data Engineering, ICDE'08 - Cancun, Mexico Duration: Apr 7 2008 → Apr 12 2008

Publication series

Name	Proceedings - International Conference on Data Engineering
ISSN (Print)	1084-4627

Other

Other	2008 IEEE 24th International Conference on Data Engineering, ICDE'08
Country/Territory	Mexico
City	Cancun
Period	4/7/08 → 4/12/08

ASJC Scopus subject areas

Software
Signal Processing
Information Systems

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10.1109/ICDE.2008.4497585

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Outlier-aware data aggregation in sensor networks. / Deligiannakis, Antonios; Stoumpos, Vassilis; Kotidis, Yannis et al.
Proceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08. 2008. p. 1448-1450 4497585 (Proceedings - International Conference on Data Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Deligiannakis, A, Stoumpos, V, Kotidis, Y, Vassalos, V & Delis, A 2008, Outlier-aware data aggregation in sensor networks. in Proceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08., 4497585, Proceedings - International Conference on Data Engineering, pp. 1448-1450, 2008 IEEE 24th International Conference on Data Engineering, ICDE'08, Cancun, Mexico, 4/7/08. https://doi.org/10.1109/ICDE.2008.4497585

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author = "Antonios Deligiannakis and Vassilis Stoumpos and Yannis Kotidis and Vasilis Vassalos and Alex Delis",

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doi = "10.1109/ICDE.2008.4497585",

language = "English (US)",

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PY - 2008

Y1 - 2008

N2 - 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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M3 - Conference contribution

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BT - Proceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08

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Y2 - 7 April 2008 through 12 April 2008

ER -

Outlier-aware data aggregation in sensor networks

Abstract

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Other

ASJC Scopus subject areas

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