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18041 Outlier detection techniques for wireless sensor networks: A survey
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Zhang, Yang and Meratnia, N. and Havinga, P.J.M. (2010) Outlier detection techniques for wireless sensor networks: A survey. IEEE Communications Surveys & Tutorials, 12 (2). pp. 159-170. ISSN 1553-877X *** ISI Impact 9,220 ***

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Official URL: http://dx.doi.org/10.1109/SURV.2010.021510.00088

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Abstract

In the field of wireless sensor networks, those measurements that significantly deviate from the normal pattern of sensed data are considered as outliers. The potential sources of outliers include noise and errors, events, and malicious attacks on the network. Traditional outlier detection techniques are not directly applicable to wireless sensor networks due to the nature of sensor data and specific requirements and limitations of the wireless sensor networks. This survey provides a comprehensive overview of existing outlier detection techniques specifically developed for the wireless sensor networks. Additionally, it presents a technique-based taxonomy and a comparative table to be used as a guideline to select a technique suitable for the application at hand based on characteristics such as data type, outlier type, outlier identity, and outlier degree.

Item Type:Article
Research Group:EWI-PS: Pervasive Systems
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Research Project:SENSEI: Integrating the PhySical with the Digital World of the Network of the Future
ID Code:18041
Status:Published
Deposited On:16 August 2010
Refereed:Yes
International:Yes
ISI Impact Factor:9,220
More Information:statisticsmetis

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