The Spatial-Temporal Anomaly Detection Algorithm in Wireless Sensor Networks
| Main Authors: | Xin, Liu; China University of Mining and Technology, Shaoliang, Zhang; China University of Mining and Technology |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Universitas Ahmad Dahlan
, 2015
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| Online Access: |
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/2010 http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/2010/pdf_228 |
Daftar Isi:
- As the traditional anomaly detection algorithms cannot effectively identify the spatial-temporal anomaly of the wireless sensor networks (WSNs), taking the CO2 concentration collected by WSNs for example, we propose the spatial-temporal anomaly detection algorithm in wireless sensor network. First we use the 3 rules to realize the anomaly detection of the adaptive threshold. Then extract the eigenvalue (average) of sliding window to be detected, construct the spatial-temporal matrix for the relationship between neighbor nodes in the specified interval, use the fuzzy clustering method to analyze the eigenvalue of adjacent nodes in spatial-temporal correlation and classify them, and identify abnormal leakage probability according to the results of the classification. Finally, use real data to verify this algorithm and analyze the parameters selected , the results show that the algorithm is high detection rate and low false alarm rate.