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<p>The application of Internet of Things (IoT) is well seen in mass domains, and this reflects the prominence of Industrial IoT (IIOT). However, the main challenge of IIoT applications is continuous power consumption by various components to acquire data all the time. Energy harvesting can be one of the potential solutions to this problem in many applications; however, continual energy usage remains main IIoT con for many cases. The energy generated by ambient sources is inadequate to run system application, and a need for better Power Management Unit (PMU) still persists. This research paper proposes a PMU framework for energy efficient edge computing application with three layers of IoT architecture. Design-build on this deployment constitutes the sleep and awake mode scheduling, with application specific calculative break intervals. The transitions of states retain 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 related designs for industrial automation.</p>

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Efficient power management unit for IIOT edge computing applications

  • 期刊论文

  • 发表日期：

    2025年1月25日

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  • Mukul Sharma,
  • Rashmi Chawla

摘要

The application of Internet of Things (IoT) is well seen in mass domains, and this reflects the prominence of Industrial IoT (IIOT). However, the main challenge of IIoT applications is continuous power consumption by various components to acquire data all the time. Energy harvesting can be one of the potential solutions to this problem in many applications; however, continual energy usage remains main IIoT con for many cases. The energy generated by ambient sources is inadequate to run system application, and a need for better Power Management Unit (PMU) still persists. This research paper proposes a PMU framework for energy efficient edge computing application with three layers of IoT architecture. Design-build on this deployment constitutes the sleep and awake mode scheduling, with application specific calculative break intervals. The transitions of states retain 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 related designs for industrial automation.