In-network outlier detection in wireless sensor networks

被引:184
作者
Branch, Joel W. [1 ]
Giannella, Chris [2 ]
Szymanski, Boleslaw [3 ,4 ]
Wolff, Ran [5 ]
Kargupta, Hillol [6 ,7 ]
机构
[1] IBM TJ Watson Res Ctr, Middleware & Applicat Transformat Dept, Hawthorne, NY 10532 USA
[2] Mitre Corp, Annapolis Jct, MD 20701 USA
[3] Rensselaer Polytech Inst, Network Sci & Technol Ctr, Troy, NY 12180 USA
[4] Rensselaer Polytech Inst, Dept Comp Sci, Troy, NY 12180 USA
[5] Univ Haifa, Dept Informat Syst, IL-31999 Haifa, Israel
[6] Univ Maryland Baltimore Cty, Dept Comp Sci & Elect Engn, Baltimore, MD 21250 USA
[7] AGNIK LLC, Columbia, MD USA
基金
美国国家科学基金会;
关键词
Outlier detection; Wireless sensor networks; In-network computation;
D O I
10.1007/s10115-011-0474-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
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 consumption, (3) uses only 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 by simulation, using real sensor data streams. Our results demonstrate that our approach is accurate and imposes reasonable communication and power consumption demands.
引用
收藏
页码:23 / 54
页数:32
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