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
- 박철진
- Keywords
- Sensor measurement errors; Water quality monitoring; Sensor networks; Simulation optimization; Statistical process control
- Issue Date
- 2017-03
- Publisher
- SPRINGER
- Citation
- STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, v. 31, no. 3, page. 743-756
- 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.
- URI
- https://link.springer.com/article/10.1007%2Fs00477-016-1210-1https://repository.hanyang.ac.kr/handle/20.500.11754/113173
- ISSN
- 1436-3240; 1436-3259
- DOI
- 10.1007/s00477-016-1210-1
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > INDUSTRIAL ENGINEERING(산업공학과) > Articles
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