Abstract. An important requirement for up-to-day sensor devices is minimization their power consumption. An effective method of reducing power consumption is cyclic switching of signal chains of sensor devices between active mode and sleep mode. There are two main algorithms for automatic Wake-up transition between these modes – based on the duration of the measurement process and based on the signal level. This study
demonstrates the possibility of optimizing pulse power supply modes in energy-efficient sensor devices using the Wake-up transition algorithm with a software-controlled duration of the measurement process. The implementation of signal circuits of such energy-efficient sensor devices is based on the Programmable System on a Chip (PSoC). Criteria for selecting the optimal duration of power pulses are presented. The optimization
methodology is based on parametric analysis of the dependence of dynamic characteristics of signal circuits on the amplitude of power pulses. In the process of such parametric analysis, the results from both experimental and model studies are used.

This work presents main approaches to developing a programmable mixed-signal front-end for sensor electronics based on signal transimpedance amplification and integration. In accordance to Internet of Things concept requirements a Programmable System on Chip PSoC 5LP is used for mixed-signal front-end implementation. In comparison to the basic transimpedance amplification and integration circuits, the output voltage of new solution is modulated over the whole voltage range of the power supply. As a result, the enhanced resolution and accuracy of further analog-to-digital conversion are obtained. Simulation and experimental results of parameters investigations have been presented.