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Power- and Delay-Aware Mobile Application-Data Flow Adaptation: The MobiHealth System Case Study

机译:权力和延迟感知移动应用程序 - 数据流适应:Mobihealth系统案例研究

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Emerging healthcare applications rely on personal mobile devices to monitor patient vital signs and to send it to the hospitals-backend servers for further analysis. However, these devices have limited resources that must be used optimally in order to meet the requirements of healthcare applications end-users: healthcare professionals and their patients. This paper reports on a case study of a cardiac telemonitoring application delivered by the so-called MobiHealth system. This system relies on a commercial device with multiple (wireless) network interfaces (NI). Our study focuses on how the choice of a NI affects the end-to-end application's data delay (extremely important in case of patient's emergency) and the energy consumption of the device (relating to the service sustainability while a patient is mobile). Our results show the trade-off between the delay and battery savings achieved by various NI activation strategies in combination with application-data flow adaptation. For a given mobile device, our study shows a gain of 40-90% in battery savings, traded against the higher delays (therefore applicable mainly in non-emergency cases). The insights of our studies can be used for application-data flow adaptation aiming at battery saving and prolonging device's operation for mobile patients.
机译:新兴的医疗保健应用程序依赖于个人移动设备来监控患者生命体征并将其发送到医院后端服务器以进行进一步分析。然而,这些设备的资源有限,必须最佳地使用,以满足医疗保健应用最终用户的要求:医疗保健专业人员及其患者。本文报告了所谓的MoviHealth系统提供的心脏遥测应用程序的案例研究。该系统依赖于具有多个(无线)网络接口(NI)的商业设备。我们的研究重点介绍了NI的选择如何影响端到端应用程序的数据延迟(在患者的紧急情况下极其重要)以及设备的能量消耗(与患者移动时的服务可持续性有关)。我们的结果表明,各种NI激活策略与应用程序数据流适应组合实现的延迟和电池之间的折衷。对于给定的移动设备,我们的研究显示了电池节省40-90%的增长,抵御较高延误(因此主要适用于非紧急情况)。我们的研究见解可用于应用 - 数据流适应,其针对电池节省和延长设备对移动患者的操作。

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