Low Cost Sensor Networks: How Do We Know the Data Are Reliable?

• DOI: 10.1021/acssensors.9b01455
• Publication Date: 2019-09-16T11:15:52Z
• Authors: David E Williams
• Keywords: FOS: Computer and information sciences; Air Pollutants; Reproducibility of Results; Statistics - Applications; 01 natural sciences; Air Pollution; Calibration; Costs and Cost Analysis; Applications (stat.AP); Algorithms; Environmental Monitoring; 0105 earth and related environmental sciences

Plausibility of data from networks of low-cost measurement devices is a growing and important contentious issue. Informal networks of low-cost devices have particularly come to prominence for air quality monitoring. The contentious point is the believability of data without regular on-site calibration since that is a specialist task and the costs very quickly become very much larger than the cost of installation in the first place. This article suggests that approaches to the problem that involve appropriate use of independent information have the potential to resolve the contention. Ideas are illustrated particularly with reference to low-cost sensor networks for air quality measurement.<br/>14 pages<br/>