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Experiences in Ensemble-based Decision Systems for Wireless Sensor Networks

Authors:
Madalin Plastoi
Ovidiu Banias
Constantin Volosencu
Daniel-Ioan Curiac

Keywords: wireless sensor networks, ensemble-based systems, sensors anomalies, data accuracy

Abstract:
Wireless sensor networks are often used to monitor and measure physical characteristics from remote or hostile environments. In these conditions, data accuracy is a very important aspect for the way these applications complete their objectives. In this paper, we introduce a new approach for detecting wireless sensors anomalies. Our methodology relies on an ensemble-based system, composed of multiple binary classifiers adequately selected to implement a complex decisional system on network base station.

Pages: 63 to 67

Copyright: Copyright (c) IARIA, 2011

Publication date: October 23, 2011

Published in: conference

ISSN: 2163-9027

ISBN: 978-1-61208-166-3

Location: Barcelona, Spain

Dates: from October 23, 2011 to October 29, 2011