Anomaly detection in wireless sensor networks in a non-stationary environment

Oreilly, Colin, Gluhak, Alexander, Imran, Muhammad A and Rajasegarar, Sutharshan 2014, Anomaly detection in wireless sensor networks in a non-stationary environment, IEEE communications surveys and tutorials, vol. 16, no. 3, pp. 1413-1432, doi: 10.1109/SURV.2013.112813.00168.

Attached Files
Name Description MIMEType Size Downloads

Title Anomaly detection in wireless sensor networks in a non-stationary environment
Author(s) Oreilly, Colin
Gluhak, Alexander
Imran, Muhammad A
Rajasegarar, SutharshanORCID iD for Rajasegarar, Sutharshan
Journal name IEEE communications surveys and tutorials
Volume number 16
Issue number 3
Start page 1413
End page 1432
Total pages 20
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2014-01-14
ISSN 1553-877X
Keyword(s) Wireless sensor networks
anomaly detection
outlier detection
concept drift
distributed computing
Summary Anomaly detection in a WSN is an important aspect of data analysis in order to identify data items that significantly differ from normal data. A characteristic of the data generated by a WSN is that the data distribution may alter over the lifetime of the network due to the changing nature of the phenomenon being observed. Anomaly detection techniques must be able to adapt to a non-stationary data distribution in order to perform optimally. In this survey, we provide a comprehensive overview of approaches to anomaly detection in a WSN and their operation in a non-stationary environment.
Language eng
DOI 10.1109/SURV.2013.112813.00168
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, IEEE.
Persistent URL

Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 34 times in TR Web of Science
Scopus Citation Count Cited 49 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 202 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Wed, 23 Nov 2016, 09:37:40 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact