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Dynamic Voltage-Frequency and Workload Joint Scaling Power Management for Energy Harvesting Multi-Core WSN Node SoC

机译:用于能量收集多核WSN节点SoC的动态电压频率和工作负载联合扩展电源管理

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摘要

This paper proposes a scheduling and power management solution for energy harvesting heterogeneous multi-core WSN node SoC such that the system continues to operate perennially and uses the harvested energy efficiently. The solution consists of a heterogeneous multi-core system oriented task scheduling algorithm and a low-complexity dynamic workload scaling and configuration optimization algorithm suitable for light-weight platforms. Moreover, considering the power consumption of most WSN applications have the characteristic of data dependent behavior, we introduce branches handling mechanism into the solution as well. The experimental result shows that the proposed algorithm can operate in real-time on a lightweight embedded processor (MSP430), and that it can make a system do more valuable works and make more than 99.9% use of the power budget.
机译:本文提出了一种用于能量收集异构多核WSN节点SoC的调度和电源管理解决方案,以使系统能够持续多年运行并有效地利用收集的能量。该解决方案由面向异构多核系统的任务调度算法和适用于轻量级平台的低复杂度动态工作负载扩展和配置优化算法组成。此外,考虑到大多数WSN应用的功耗具有数据依赖行为的特点,我们还将分支处理机制引入解决方案中。实验结果表明,该算法可以在轻巧的嵌入式处理器(MSP430)上实时运行,并且可以使系统做更多有价值的工作,并节省99.9%以上的功率预算。

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