Powering massive number of IoT sensors is one of the grand challenges of the IoT revolution. As batteries are short-lived, hazardous, and costly, the future IoT sensing substrate must be powered by ambient energy. Although great advances have been made in supporting computation on batteryless devices, the sensing side has been entirely neglected. Most sensors, such as miniaturized chemical sensors, do not work on intermittent power.
Before a sensor has warmed up and is ready to sense the power is out. To solve the problem, we developed effective predictive models to estimate the measurement from a few transient samples. We would now like to build a demonstrator which runs these models locally on an embedded device and compare the prototype batteryless sensor to its continuously outlet powered version in different settings.