Title
Anomaly Detection in Environmental Monitoring Networks [Application Notes]
Abstract
We apply a recently developed model for anomaly detection to sensor data collected from a single node in the Heron Island wireless sensor network, which in turn is part of the Great Barrier Reef Ocean Observation System. The collection period spanned six hours each day from February 21 to March 22, 2009. Cyclone Hamish occurred on March 9, 2009, roughly in the middle of the collection period. Our system converts sensor measurements to elliptical summaries. Then a dissimilarity image of the data is built from a measure of focal distance between pairs of ellipses. Dark blocks along the diagonal of the image suggest clusters of ellipses. Finally, the single linkage algorithm extracts clusters from the dissimilarity data. We illustrate the model with three two-dimensional subsets of the three dimensional measurements of (air) pressure, temperature and humidity. Our examples show that iVAT images of focal distance are a reliable basis for estimating cluster structures in sets of ellipses, and that single linkage can successfully extract the indicated clusters. In particular, we are able to clearly isolate the cyclone Hamish event with this method, which demonstrates the ability of our model to detect anomalies in environmental monitoring networks.
Year
DOI
Venue
2011
10.1109/MCI.2011.940751
Computational Intelligence Magazine, IEEE
Keywords
Field
DocType
atmospheric humidity,atmospheric pressure,atmospheric temperature,environmental monitoring (geophysics),geophysical image processing,storms,wireless sensor networks,AD 2009 03 09,Cyclone Hamish,Great Barrier Reef Ocean Observation System,Heron Island wireless sensor network,air pressure,air temperature,anomaly detection,cluster structures,dark blocks,dissimilarity data,dissimilarity image,environmental monitoring networks,focal distance,humidity,iVAT images,sensor data
Diagonal,Anomaly detection,Cluster (physics),Cyclone,Computer science,Remote sensing,Image processing,Focal length,Artificial intelligence,Ellipse,Wireless sensor network,Machine learning
Journal
Volume
Issue
ISSN
6
2
1556-603X
Citations 
PageRank 
References 
18
0.74
8
Authors
4
Name
Order
Citations
PageRank
Bezdek, J.C.1180.74
Sutharshan Rajasegarar265440.38
Moshtaghi, M.3180.74
Christopher Leckie42422155.20