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Enabling Energy-Aware Collaborative Mobile Data Offloading for Smartphones

机译:启用能量感知的协作移动数据卸载智能手机

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Searching for mobile data offloading solutions has been topical in recent years. In this paper, we present a collaborative WiFi-based mobile data offloading architecture - Metropolitan Advanced Delivery Network (MADNet), targeting at improving the energy efficiency for smartphones. According to our measurements, WiFi-based mobile data offloading for moving smartphones is challenging due to the limitation of WiFi antennas deployed on existing smartphones and the short contact duration with WiFi APs. Moreover, our study shows that the number of open-accessible WiFi APs is very limited for smartphones in metropolitan areas, which significantly affects the offloading opportunities for previous schemes that use only open APs. To address these problems, MADNet intelligently aggregates the collaborative power of cellular operators, WiFi service providers and end-users. We design an energy-aware algorithm for energy-constrained devices to assist the offloading decision. Our design enables smartphones to select the most energy efficient WiFi AP for offloading. The experimental evaluation of our prototype on smartphone (Nokia N900) demonstrates that we are able to achieve more than 80% energy saving. Our measurement results also show that MADNet can tolerate minor errors in localization, mobility prediction, and offloading capacity estimation.
机译:在近年来寻找移动数据卸载解决方案的主题。在本文中,我们展示了一款基于WiFi的移动数据卸载架构 - 大都市高级交付网络(MADNET),旨在提高智能手机的能源效率。根据我们的测量,由于在现有智能手机上部署的WiFi天线和WiFi AP的短接触持续时间,WiFi的移动数据卸载用于移动智能手机的挑战是具有挑战性的。此外,我们的研究表明,开放式无障碍WiFi AP的数量对于大都市地区的智能手机非常有限,这显着影响了仅使用Open AP的先前计划的卸载机会。为了解决这些问题,Madnet智能地聚集了蜂窝运营商,WiFi服务提供商和最终用户的协作力量。我们设计一种用于能量受限设备的能量感知算法,以帮助卸载决定。我们的设计使智能手机能够选择用于卸载的最节能WiFi AP。我们在智能手机上的原型(诺基亚N900)的实验评估表明,我们能够达到80%以上的节能。我们的测量结果还表明,Madnet可以容忍本地化,移动预测和卸载能力估计中的轻微误差。

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