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Proceedings ArticleDOI

Augmenting mobile 3G using WiFi

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TLDR
A system, called Wiffler, to augments mobile 3G capacity in mobile environments and significantly reduces 3G usage, using two key ideas leveraging delay tolerance and fast switching -- to overcome the poor availability and performance of WiFi.
Abstract
We investigate if WiFi access can be used to augment 3G capacity in mobile environments. We rst conduct a detailed study of 3G and WiFi access from moving vehicles, in three different cities. We find that the average 3G and WiFi availability across the cities is 87% and 11%, respectively. WiFi throughput is lower than 3G through-put, and WiFi loss rates are higher. We then design a system, called Wiffler, to augments mobile 3G capacity. It uses two key ideas leveraging delay tolerance and fast switching -- to overcome the poor availability and performance of WiFi. For delay tolerant applications, Wiffler uses a simple model of the environment to predict WiFi connectivity. It uses these predictions to delays transfers to offload more data on WiFi, but only if delaying reduces 3G usage and the transfers can be completed within the application's tolerance threshold. For applications that are extremely sensitive to delay or loss (e.g., VoIP), Wiffler quickly switches to 3G if WiFi is unable to successfully transmit the packet within a small time window. We implement and deploy Wiffler in our vehicular testbed. Our experiments show that Wiffler significantly reduces 3G usage. For a realistic workload, the reduction is 45% for a delay tolerance of 60 seconds.

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References
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Proceedings ArticleDOI

CarTel: a distributed mobile sensor computing system

TL;DR: CarTel has been deployed on six cars, running on a small scale in Boston and Seattle for over a year, and has been used to analyze commute times, analyze metropolitan Wi-Fi deployments, and for automotive diagnostics.
Proceedings ArticleDOI

Wake on wireless: an event driven energy saving strategy for battery operated devices

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BreadCrumbs: forecasting mobile connectivity

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Proceedings ArticleDOI

Integration of 802.11 and third-generation wireless data networks

TL;DR: This paper addresses the problem of integration of these two classes of networks to offer such seamless connectivity and describes two possible integration approaches - namely tight integration and loose integration and advocate the latter as the preferred approach.
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The β-factor: measuring wireless link burstiness

TL;DR: It is shown that measuring β allows us to reason about how long a protocol should pause after encountering a packet failure to reduce its transmission cost, and using β as a guide to setting a single constant in a standard sensor network data collection protocol reduces its average transmission cost by 15%.
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