Sensor Placement in Municipal Water Networks
Publication: Journal of Water Resources Planning and Management
Volume 131, Issue 3
Abstract
We present a model for optimizing the placement of sensors in municipal water networks to detect maliciously injected contaminants. An optimal sensor configuration minimizes the expected fraction of the population at risk. We formulate this problem as a mixed-integer program, which can be solved with generally available solvers. We find optimal sensor placements for three test networks with synthetic risk and population data. Our experiments illustrate that this formulation can be solved relatively quickly and that the predicted sensor configuration is relatively insensitive to uncertainties in the data used for prediction.
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Acknowledgments
This work was performed in part at Sandia National Laboratories. Sandia is a multipurpose laboratory operated by Sandia Corporation, a Lockheed-Martin Company, for the United States Department of Energy under contract DE-AC04–94AL85000.
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© 2005 ASCE.
History
Received: Sep 7, 2004
Accepted: Dec 23, 2004
Published online: May 1, 2005
Published in print: May 2005
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