A Multi-agent System for Outliers Accommodation in Wireless Sensor Networks



n monitoring applications the accuracy of data is
paramount. When considering wireless sensor networks the
quality of readings taken from the environment may be hampered
by outliers in raw data collected from transmitters attached
to nodes’ analogue-to-digital converter ports. To improve the
data quality sent to the base-station, a real-time data analysis
should be implemented at nodes’ level, while taking into account
their computing power and storage limitations. This paper deals
with the problem of outliers detection and accommodation in
raw data. The proposed approach relies on univariate statistics
within an hierarchical multi-agent framework. Results from
experiments on a real monitoring scenario, at a major oil refinery
plant, show the relevance of the proposed approach.


Oil refinery plant, real-time monitoring, wireless sensor networks, outliers detection and accommodation, multi-agent systems.

Related Project

iCIS - Intelligent Computing in the Internet of Services


6th International Conference on Computer Technology and Development - ICCTD 2014, November 2014

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