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You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Special sessions : Lightweight unsupervised event detection approach in wireless smart sensorsfor monitoring water dist...
Lightweight unsupervised event detection approach in wireless smart sensorsfor monitoring water distribution system
Author : MOHAMED IBRAHIM M. MOHAMED (1), WENYAN WU (2)
ABSTRACT
The current technology for detecting leak and burst events relies on offline techniques which collect loggers¡¯ data from
multiple locations. We believe that detecting such events in real time, with smart sensors nodes, could improve monitoring
operations and save operational costs. In this paper we analyse different machine learning techniques and investigate the
ability to use them as real time intelligent event detection tools which use only the limited processing capabilities in the
wireless sensor nodes. We are proposing a real-time leak detection approach which is light weight enough to run given the
limited computing resources available in the nodes. Additionally, we evaluate the proposed approach against existing ones
in terms of accuracy, and computational complexity.
File Size : 1,098,741 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Special sessions
Date Published : 19/08/2015
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