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26th IEEE International Conference on Distributed Computing Systems (ICDCS'06)
In-Network Outlier Detection in Wireless Sensor Networks
Lisboa, Portugal
July 04-July 07
ISBN: 0-7695-2540-7
Joel Branch, Rensselaer Polytechnic Institute, NY
Boleslaw Szymanski, Rensselaer Polytechnic Institute, NY
Chris Giannella, University of Maryland Baltimore County
Ran Wolff, University of Maryland Baltimore County
Hillol Kargupta, University of Maryland Baltimore County
To address the problem of unsupervised outlier detection in wireless sensor networks, we develop an algorithm that (1) is flexible with respect to the outlier definition, (2) works in-network with a communication load proportional to the outcome, and (3) reveals its outcome to all sensors. We examine the algorithm?s performance using simulation with real sensor data streams. Our results demonstrate that the algorithm is accurate and imposes a reasonable communication load and level of power consumption.
Citation:
Joel Branch, Boleslaw Szymanski, Chris Giannella, Ran Wolff, Hillol Kargupta, "In-Network Outlier Detection in Wireless Sensor Networks," icdcs, pp.51, 26th IEEE International Conference on Distributed Computing Systems (ICDCS'06), 2006
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