Abnormal Event Detection in Wireless Sensor Networks Based on Multiattribute Correlation
Joint Authors
Wang, Mengdi
Xue, Anrong
Xia, Huanhuan
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Abnormal event detection is one of the vital tasks in wireless sensor networks.
However, the faults of nodes and the poor deployment environment have brought great challenges to abnormal event detection.
In a typical event detection technique, spatiotemporal correlations are collected to detect an event, which is susceptible to noises and errors.
To improve the quality of detection results, we propose a novel approach for abnormal event detection in wireless sensor networks.
This approach considers not only spatiotemporal correlations but also the correlations among observed attributes.
A dependency model of observed attributes is constructed based on Bayesian network.
In this model, the dependency structure of observed attributes is obtained by structure learning, and the conditional probability table of each node is calculated by parameter learning.
We propose a new concept named attribute correlation confidence to evaluate the fitting degree between the sensor reading and the abnormal event pattern.
On the basis of time correlation detection and space correlation detection, the abnormal events are identified.
Experimental results show that the proposed algorithm can reduce the impact of interference factors and the rate of the false alarm effectively; it can also improve the accuracy of event detection.
American Psychological Association (APA)
Wang, Mengdi& Xue, Anrong& Xia, Huanhuan. 2017. Abnormal Event Detection in Wireless Sensor Networks Based on Multiattribute Correlation. Journal of Electrical and Computer Engineering،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1175246
Modern Language Association (MLA)
Wang, Mengdi…[et al.]. Abnormal Event Detection in Wireless Sensor Networks Based on Multiattribute Correlation. Journal of Electrical and Computer Engineering No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1175246
American Medical Association (AMA)
Wang, Mengdi& Xue, Anrong& Xia, Huanhuan. Abnormal Event Detection in Wireless Sensor Networks Based on Multiattribute Correlation. Journal of Electrical and Computer Engineering. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1175246
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175246