Chapter
Apr 26, 2012

Spatial Analysis of Optimized Sensor Locations using GIS

Publication: World Environmental and Water Resources Congress 2007: Restoring Our Natural Habitat

Abstract

A water distribution system was analyzed for optimal sensor placement based on four different intrusion scenarios and five different optimization criteria cases. A 5-sensor network and a 20-sensor network were developed for each scenario and optimization case, resulting in 40 individual sensor networks, each corresponding to a different scenario, case, and number of sensors that form the network. The spatial distributions of the sensor networks were analyzed and compared using GIS to determine similarities. Frequency and average nearest neighbor analyses indicated that sensor placements corresponding to the different intrusion scenarios and optimization cases are likely to overlap and cluster. In addition, the different scenarios and cases tend to place the sensors in similar locations and in the same order, particularly for the first few sensors placed. The dependence of sensor location on demand characteristics was also analyzed using GIS. The analysis illustrated that sensor locations defined by optimizing volume of consumed contaminated water and amount of population affected are likely to be dependent on network nodes with a high reachable average demand and sensor locations defined by optimizing detection likelihood are likely to be dependent on network nodes with a low reachable average demand.

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Go to World Environmental and Water Resources Congress 2007
World Environmental and Water Resources Congress 2007: Restoring Our Natural Habitat
Pages: 1 - 9

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Published online: Apr 26, 2012

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Shannon L. Isovitsch [email protected]
Department of Civil and Environmental Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213-3980. E-mail: [email protected]
Jeanne M. VanBriesen [email protected]
A.M.ASCE
Department of Civil and Environmental Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213-3980. E-mail: [email protected]

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