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	A Kalman filter based approach for outlier detection in sensor networks
	Meng, Shuai ; Kunqing, Xie ; Guanhua, Chen ; Xiuli, Ma ; Guojie, Song
	2008
英文摘要	Outliers are common in data collection applications with wireless sensor networks, which consist of a large number of sensor nodes, embedded in physical space. The limited power supplies and noisy sensor data put challenges for outlier detection and cleaning in sensor networks. In this paper, we propose utilizing spatial and temporal dependencies that exist sensory readings. Our approach is based on Kalman filter and we design the state transition module and measuring module of the Kalman filter to exploit the temporal and spatial dependencies of sensor data respectively. The experimental results illustrate the effectiveness of our approach. ? 2008 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/CSSE.2008.1240
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/263158]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Meng, Shuai,Kunqing, Xie,Guanhua, Chen,et al. A Kalman filter based approach for outlier detection in sensor networks. 2008-01-01.

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