Zhang, Yang and Meratnia, N. and Havinga, P.J.M.
Outlier Detection Techniques For Wireless Sensor Networks: A Survey.
Technical Report TR-CTIT-08-59,
Centre for Telematics and Information Technology University of Twente, Enschede.
Full text available as:
In the field of wireless sensor networks, 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 multivariate
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 decision tree 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,
|Item Type:||Internal Report (Technical Report)|
|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|
|Deposited On:||09 October 2008|
Export this item as:
To correct this item please ask your editor
Repository Staff Only: edit this item