Title :
Use of event detection approaches for outlier detection in wireless sensor networks
Author :
Bahrepour, Majid ; Zhang, Yang ; Meratnia, Nirvana ; Havinga, Paul J M
Author_Institution :
Pervasive Syst. Group, Univ. of Twente, Enschede, Netherlands
Abstract :
Outliers or anomalies are generally considered to be those observations that are considerably diverged from normal pattern of data. Due to their special characteristics, e.g. constrained available resources, frequent physical failure, and often harsh deployment area, wireless sensor networks (WSNs) are more likely to generate outliers compared to their other wireless counterparts. Potential sources of deviated data in a series of measurements are errors, events, and/or malicious attacks on the network. Current studies tend to handle events and errors separately and propose different techniques for event detection as for outlier detection. By bringing the concept of outlier and event close together and assuming that events are some sorts of outliers, in this paper, we investigate applicability of pattern matching-based event detection techniques for outlier detection. Through extensive experiments, we evaluate performance of various event detection techniques to detect outliers and compare them with a recent outlier detection study.
Keywords :
pattern matching; signal detection; wireless sensor networks; error measurements; event detection; frequent physical failure; harsh deployment area; malicious attacks; outlier detection; pattern matching; wireless sensor networks; Capacitive sensors; Character generation; Computer networks; Data analysis; Event detection; Pattern matching; Pervasive computing; Probability distribution; Sensor systems; Wireless sensor networks;
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2009 5th International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4244-3517-3
Electronic_ISBN :
978-1-4244-3518-0
DOI :
10.1109/ISSNIP.2009.5416749