Towards On-demand Gas Sensing

Markus-Philipp Gherman, Yun Cheng, Andres Gomez, Olga Saukh

Abstract: Low-power operation of power-hungry MOX sensors is usually achieved by duty cycling them periodically. However, a difficulty arises if a sensor is operated at irregular time intervals due to intermittent energy availability in energy- neutral or batteryless applications. In this work, we propose a compensation method which re-maps on-demand measurements to virtually duty-cycled readings in the value domain by taking the duration of the last off-time into account. We evaluate our compensation algorithm based on Sensirion’s SGP30 sensor and achieve up to 79% accuracy improvement compared to uncompensated measurements.