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Impact of sensor measurement error on sensor positioning in water quality monitoring networks

Title
Impact of sensor measurement error on sensor positioning in water quality monitoring networks
Author(s)
Kim, Seong HeeAral, Mustafa M.Eun, Yong SoonPark, Jisu J.Park, Chul Jin
Issued Date
2017-03
Citation
Stochastic Environmental Research and Risk Assessment, v.31, no.3, pp.743 - 756
Type
Article
Author Keywords
Sensor measurement errorsWater quality monitoringSensor networksSimulation optimizationStatistical process control
Keywords
DISCRETE OPTIMIZATIONSIMULATIONDESIGN
ISSN
1436-3240
Abstract
This paper studies the impact of sensor measurement error on designing a water quality monitoring network for a river system, and shows that robust sensor locations can be obtained when an optimization algorithm is combined with a statistical process control (SPC) method. Specifically, we develop a possible probabilistic model of sensor measurement error and the measurement error model is embedded into a simulation model of a river system. An optimization algorithm is used to find the optimal sensor locations that minimize the expected time until a spill detection in the presence of a constraint on the probability of detecting a spill. The experimental results show that the optimal sensor locations are highly sensitive to the variability of measurement error and false alarm rates are often unacceptably high. An SPC method is useful in finding thresholds that guarantee a false alarm rate no more than a pre-specified target level, and an optimization algorithm combined with the thresholds finds a robust sensor network. © 2016, Springer-Verlag Berlin Heidelberg.
URI
http://hdl.handle.net/20.500.11750/5047
DOI
10.1007/s00477-016-1210-1
Publisher
Springer New York LLC
Related Researcher
  • 은용순 Eun, Yongsoon 전기전자컴퓨터공학과
  • Research Interests Resilient control systems; Control systems with nonlinear sensors and actuators; Quasi-linear control systems; Intelligent transportation systems; Networked control systems
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Appears in Collections:
Department of Electrical Engineering and Computer Science DSC Lab(Dynamic Systems and Control Laboratory) 1. Journal Articles

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