Power Adaptive Computing System Design using Embedded System

Due to the energy harvesting system, immediately new energy sources are available for many advanced applications which are based on environmentally embedded systems. There are various harvested power like the solar energy, varies significantly under the various conditions, which affects the conversion of energy. In this paper, we propose the approach for designing new power-adaptive computing systems to increase the energy utilization under different solar power supply. Using the techniques which use geometric programming, the proposed approach can generate a parallel computing structure. Then, based on the estimation of the solar energy in the future time slots. A convex model-based adaptation strategy which is used to restrain the power behavior of the real time computing system. The developed power adaptive computing system is executed on the hardware and calculated by a solar harvesting system simulation for five applications. It shows that the developed power-adaptive systems which can track the various power supply. The present design approach for self powered embedded systems has a better utilization of energy sources.