基于 DQN 的医疗移动设备能量感知任务卸载

Min Zhao, Junwen Lu
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引用次数: 0

摘要

将某些任务从本地设备卸载到远程云是克服医疗移动设备执行时间和能源供应限制等缺点的重要方法之一。如何在节能的同时满足多种需求是卸载任务面临的挑战。我们将医疗移动设备中的任务分为两种:第一种是希望尽快执行的任务,这些任务总是有截止日期;第二种是可以随时执行的任务,这些任务总是没有截止日期。以往的工作总是忽略医疗移动设备充电时的能量消耗。据我们所知,本文是第一篇关注工作期间从电网向医疗设备充电能效的论文。通过考虑不同地点的能耗、工作和能量传输过程中的能效、电池的可用能量,我们提出了一种基于 DQN 的调度方法。模拟结果表明,我们提出的方法可以减少未完成任务的数量,同时使平均执行时间和能耗值最小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy-aware tasks offloading based on DQN in medical mobile devices
Offloading some tasks from the local device to the remote cloud is one of the important methods to overcome the drawbacks of the medical mobile device, such as the limitation in the execution time and energy supply. The challenges of offloading task is how to meet multiple requirement while keeping energy-saving. We classify tasks in the medical mobile device into two kinds: the first is the task that hopes to be executed as soon as possible, those tasks always have a deadline; the second is the task that can be executed anytime and always has no deadlines. Past work always neglects the energy consumption when the medical mobile device is charged. To the best of our knowledge, this paper is the first paper that focuses on the energy efficiency of charging from a power grid to a medical device during work. By considering the energy consumption in different locations, the energy efficiency during working and energy transmission, the available energy of and the battery, we propose a scheduling method based on DQN. Simulations show that our proposed method can reduce the number of un-completed tasks, while having a minimum value in the average execution time and energy consumption.
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