Efficient power management unit for IIOT edge computing applications

Applications of Industrial Internet of Things (IIoT) are comprehended in mass domains, and this reflects the prominence of IoT. However, the main con of IoT applications is that it requires continuous power to be drawn by various components to operate all the time. Energy harvesting provides a potential solution to this problem in many applications; however, this continual energy usage remains main IoT con. The energy generated by ambient sources is inadequate to run system application, and a need for better Power Management Unit (PMU) persists. This research paper proposes a PMU framework for energy efficiency in edge computing application with three layers of IoT architecture. Design-build on this deployment, constitutes sleep and awake scheduling, with calculative idle intervals. The transitions of states exercise an energy-efficient solution for the entire system. The design is tested on ZYBO Zynq-7000 (XC7Z010-1CLG400C) ARM/FPGA SoC board for development and evaluation. Simulation results demonstrate the task scheduling of our proposed architecture and energy consumption details. In brief, the proposed design proves to be a beneficial option, in particular, surpassing kin designs for industrial automation.