Sensor placement in municipal water networks.
Conference
·
OSTI ID:917487
- Carnegie Mellon University, Pittsburgh, PA
- Lafayette College, Easton, PA
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 an integer program, which can be solved with generally available IP solvers. We find optimal sensor placements for three real 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.
- Research Organization:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 917487
- Report Number(s):
- SAND2003-0981C; TRN: US200817%%612
- Resource Relation:
- Conference: Proposed for presentation at the World Water & Environmental Resources Congress held June 23-26, 2003 in Philadelphia, PA.
- Country of Publication:
- United States
- Language:
- English
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