DocumentCode :
3308481
Title :
Algorithm for temporal anomaly detection in WSNs
Author :
Ghaddar, Alia ; Razafindralambo, Tahiry ; Simplot-Ryl, Isabelle ; Tawbi, Samar ; Hijazi, Abbas
Author_Institution :
INRIA, Univ. Lille 1, Lille, France
fYear :
2011
fDate :
28-31 March 2011
Firstpage :
743
Lastpage :
748
Abstract :
Knowledge discovery and data analysis in resource constrained wireless sensor networks faces different challenges. One of the main challenges is to identify misbehaviors or anomalies with high accuracy while minimizing energy consumption in the network. In this paper, we extend a previous work of us and we present an algorithm for temporal anomalies detection in wireless sensor networks. Our experiments results show that our algorithm can efficiently and accurately detect anomalies in sensor measurements. It also produces low false alarm rate for slow variation time series measurements without harvesting the source of energy.
Keywords :
wireless sensor networks; WSN; data analysis; energy consumption; knowledge discovery; slow variation time series measurement; temporal anomaly detection algorithm; wireless sensor network; Accuracy; Adaptation model; Correlation; Data models; Predictive models; Robot sensing systems; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2011 IEEE
Conference_Location :
Cancun, Quintana Roo
ISSN :
1525-3511
Print_ISBN :
978-1-61284-255-4
Type :
conf
DOI :
10.1109/WCNC.2011.5779255
Filename :
5779255
Link To Document :
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