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arXiv 0909.0685cs.DBcs.NI
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In-Network Outlier Detection in Wireless Sensor Networks

Joel W. Branch, Chris Giannella, Boleslaw Szymanski, Ran Wolff, Hillol Kargupta

英文摘要:

To address the problem of unsupervised outlier detection in wireless sensor networks, we develop an approach that (1) is flexible with respect to the outlier definition, (2) computes the result in-network to reduce both bandwidth and energy usage,(3) only uses single hop communication thus permitting very simple node failure detection and message reliability assurance mechanisms (e.g., carrier-sense), and (4) seamlessly accommodates dynamic updates to data. We examine performance using simulation with real sensor data streams. Our results demonstrate that our approach is accurate and imposes a reasonable communication load and level of power consumption.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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