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Conference Papers Year : 2011

Algorithm for temporal anomaly detection in WSNs


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 pro- duces low false alarm rate for slow variation time series measurements without harvesting the source of energy.
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inria-00569111 , version 1 (24-02-2011)


  • HAL Id : inria-00569111 , version 1


Alia Ghaddar, Tahiry Razafindralambo, Isabelle Simplot-Ryl, Samar Tawbi, Abbas Hijazi. Algorithm for temporal anomaly detection in WSNs. Proc. IEEE Wireless Communications \& Networking Conference (WCNC 2011), 2011, Cancun, Mexico. ⟨inria-00569111⟩
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