Outlier Detection in Wireless Sensor Networks Using Distributed Principal Component Analysis

Outlier Detection in Wireless Sensor Networks Using Distributed Principal Component Analysis

Detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (WSNs). To address the problem of outlier detection in wireless sensor networks, in this paper we present a PCA-based centralized approach and a DPCA-based distributed energy-efficie...

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Bibliographic Details
Main Authors: Mohammad Ahmadi Livani, mahdi Abadi, Meysam Alikhany, Meisam Yadollahzadeh Tabari
Format: Article
Language:English
Published: Shahrood University of Technology 2013-01-01
Series:Journal of Artificial Intelligence and Data Mining
Subjects:
Sensor network
Principal Component Analysis
Outlier detection
Online Access:http://jad.shahroodut.ac.ir/article_98_581145b2adcc49bf156eee44c1df7703.pdf

Internet

http://jad.shahroodut.ac.ir/article_98_581145b2adcc49bf156eee44c1df7703.pdf

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