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Battery and Data Drain of Over-The-Top Applications on Low-end Smartphones

机译:低端智能手机上最顶级应用的电池和数据漏极

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Low-end smartphones with sub $50 price tags provide affordable device ownership to low-income populations. However, their limited capacity, when combined with the need for multimodal connectivity, raises usage concerns in rural off-grid regions. Some off-grid regions in sub-Saharan Africa provide recharge facilities using solar power and charge money for the service. Adding data bundle costs to frequent recharge costs, affordability of low-end smartphones becomes questionable in such areas. Community-controlled solar-powered wireless mesh network models with Session Initiation Protocol capability could alleviate the network usage cost conundrum and consume less power in low-end smartphones with the usage of WiFi. This paper reports on investigations that reveal usage of WiFi consumes less battery than 3G, 2G and Bluetooth. In addition, we feel that lowering recharge costs also requires battery consumption knowledge of the over-the-top applications. Using automated voice calls, this paper reports on battery and data consumption by multiple popular social media applications using one type of low-end smartphone. Data consumption was calculated with the objective of learning how to lower data bundle costs by selecting the application with least data consumption. Battery consumption due to CPU usage by the applications was also measured. Results show that WhatsApp consumes the least battery amongst instant messengers and also the least data over all apps measured. SipDroid consumes the least battery overall. Additionally, the reported experiments provide a framework for future experiments aimed at evaluating battery and data consumption by other smartphone applications.
机译:具有50美元价格标签的低端智能手机为低收入人口提供了实惠的设备所有权。但是,它们的容量有限,当结合多式联运的需求时,将在农村非网格区的使用情况提高了担忧。撒哈拉以南非洲的一些离网区提供了利用太阳能的充电设施,并为服务支付金钱。将数据捆绑成本添加到频繁的充电成本,低端智能手机的负担能力在此类区域中受到质疑。具有会话发起协议功能的社区控制的太阳能无线网状网络模型可以缓解网络使用率难题,并在低端智能手机中消耗较少的电力,使用WiFi。本文报告了揭示WiFi使用的调查,而不是3G,2G和蓝牙消耗的电池。此外,我们认为降低充值成本还需要电池消耗的超顶应用程序。使用自动语音呼叫,本文使用一种使用一种类型的低端智能手机对多个流行的社交媒体应用的电池和数据消耗报告。通过学习如何通过选择最小数据消耗来研究如何降低数据捆绑成本的目的来计算数据消耗。还测量了应用程序引起的CPU使用率的电池消耗。结果表明,WhatsApp在即时传讯器中消耗了最少的电池,以及测量所有应用程序的最少数据。 Sipdroid消耗了最低电量。此外,报告的实验为未来的实验提供了一种旨在通过其他智能手机应用评估电池和数据消耗的未来实验的框架。

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