Economic and environmental impact

Sensor networks are widely used across many sectors and play an increasingly important role in everyday life. At the same time, recent developments in sensor technologies, network architectures, in-situ self- and co-calibration techniques, data routing, data processing, and Artificial Intelligence (AI) are introducing new metrological challenges that are not yet fully addressed.

These developments influence applications ranging from air quality monitoring and energy networks to advanced manufacturing. They also create new challenges associated with large and complex data flows, including issues related to data velocity, volume, value, variety, and veracity.