智能手机后台应用的Wi-Fi使用监控和电源管理策略

Ekarat Rattagan
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引用次数: 4

摘要

Wi-Fi网络为我们提供了无处不在且成本低廉的连接。考虑到低成本因素,大多数智能手机应用在Wi-Fi而不是蜂窝网络下执行一些后台任务,例如应用更新、云数据备份等。Wi-Fi使用率的增加导致电池电量的快速消耗。为了降低Wi-Fi的功耗,现有的电源管理策略会在Wi-Fi处于空闲状态时将其设置为休眠模式。然而,目前还没有实用的电源管理策略来管理大量使用Wi-Fi时的功耗。在本文中,我们提出了一种监控方法和电源管理策略,同时几个后台应用程序正在使用它。该方法可以在不修改智能手机操作系统源代码的情况下,在运行时在应用程序框架级别(application framework level, API)对后台应用的Wi-Fi使用情况进行非侵入性监控。通过api级别的监控数据,我们可以有效地管理特定应用程序所消耗的Wi-Fi功率,从而导致功耗问题。我们的实验评估表明,与默认的Wi-Fi电源管理策略相比,仅将我们的方法应用于一个使用Wi-Fi网络最多的后台应用程序,就可以使总能耗提高8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wi-Fi usage monitoring and power management policy for smartphone background applications
Wi-Fi networks provide us with the connectivity that is ubiquitous and inexpensive cost. With the low-cost factor, most smartphone apps perform several background tasks under Wi-Fi instead of the cellular network, e.g., app update, cloud data backup, etc. The increase of Wi-Fi utilization leads to fast battery-powered draining. To reduce the Wi-Fi power consumption, the existing power management policies put Wi-Fi into a sleep mode when it is idle. However, there are no practical power management policies to manage the Wi-Fi power consumption while it is being used heavily. In this paper, we present a monitoring method and power management policy for Wi-Fi while several background apps are utilizing it. The proposed method can non-intrusively monitor the Wi-Fi usage of background apps at the application framework level (API) in runtime without modifying any source codes of the smartphone operating systems. With the API-level monitoring data, we can apply it to efficiently manage the Wi-Fi power consumed by a specific app which causes the power consumption issue. Our experimental evaluation shows that by applying our method to only one background app, which is the most use of the Wi-Fi network, it results in 8% improvement of the total energy consumption, compared with the default Wi-Fi power management policy.
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