Abstract
In modern era the utilization of battery empowered systems is growing exponentially. In the goal to achieve an optimal system performance, the employment of a PMS (Power Management System) is necessary. The recent sophistications in the area of PMSs are demanding more and more processing resources. Reducing the PMS power consumption is becoming one of the most difficult industrial challenges. Most of efforts to achieve this goal are focused on improving the embedded systems design, but very few studies target to exploit the input signal time-varying nature. This work aims to achieve power efficiency by smartly adapting the system activity to the input signal local variations. In this context a novel signal driven data acquisition approach is derived. The proposed solution is based on the Signal Driven Sampling Scheme, able to adapt its acquisition rate according to the input signal variations. In fact, the principle is to smartly exploit the signal local characteristics to acquire only the relevant signal parts at relevant sampling rate. The idea offers a drastic reduction in the system computational power consumption compared to the classical approach.