Managing Sensor Data Uncertainty: A Data Quality Approach

Claudia C. Gutiérrez Rodríguez and Sylvie Servigne
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Claudia C. Gutiérrez Rodríguez: I3S Laboratory, Nice Sophia-Antipolis University, Sophia-Antipolis, France
Sylvie Servigne: LIRIS – UMR 5205, INSA de Lyon, Université de Lyon, Villeurbanne, France

International Journal of Agricultural and Environmental Information Systems (IJAEIS), 2013, vol. 4, issue 1, 35-54

Abstract: With an increasingly technological improvement, sensors infrastructure actually supports many current and promising environmental applications. Environmental Monitoring Systems built on such sensors removes geographical, temporal and other restraints while increasing both the coverage and the quality of real world understanding. However, a main issue for such applications is the uncertainty of data coming from sensors, which may impact experts’ decisions. In this paper, the authors address this problem with an approach dedicated to provide environmental monitoring applications and users with data quality information.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jaeis0:v:4:y:2013:i:1:p:35-54

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