Fundamental principles of sensor network metrology

Creating metrological basis to ensuring data quality in modern sensor networks.

Sensor networks are used in many fields, but their applicability is limited by variable data quality, unknown measurement uncertainty and the lack of traceability of the SI system.

Project will study the metrological aspects of sensor networks and develop reliable and accurate methods for assessing data quality and measurement uncertainty in real-world environments. Semantic technologies will be applied to develop novel approaches for sensors in large, transient networks, such as those used for air quality measurements in urban environments.

VTT MIKES develops tools for uncertainty analysis and propagation in sensor networks under dynamic conditions and adapts the tools to mixed-quality air quality monitoring networks.


Call 2022: Metrology Support for Digital Transformation

The project (22DIT02 FunSNM) has received funding from the European Partnership on Metrology, co-financed from the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States.