RT-WABest: A novel end-to-end bandwidth estimation tool in IEEE 802.11 wireless network

In 802.11 wireless network, a large number of multimedia applications are emerging. Accurate end-to-end bandwidth estimation techniques can help these applications adjust their behavior accordingly, such as stream’s bitrate adaptation, to improve quality of service. However, most current bandwidth e...

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Main Authors: Tan Yang, Yuehui Jin, Yufei Chen, Yudong Jin
Format: Article
Language:English
Published: SAGE Publishing 2017-02-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147717694889
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spelling doaj-46566973369846359ffef55cd74fae252020-11-25T02:55:15ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772017-02-011310.1177/1550147717694889RT-WABest: A novel end-to-end bandwidth estimation tool in IEEE 802.11 wireless networkTan Yang0Yuehui Jin1Yufei Chen2Yudong Jin3School of Software Engineering, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaIn 802.11 wireless network, a large number of multimedia applications are emerging. Accurate end-to-end bandwidth estimation techniques can help these applications adjust their behavior accordingly, such as stream’s bitrate adaptation, to improve quality of service. However, most current bandwidth estimation techniques are designed for wired networks that have high intrusiveness and consume long convergence time, which cannot be applied in resource-limited wireless network. In this article, we present a novel bandwidth estimation tool for IEEE 802.11 wireless network, which only needs to be deployed in one end of the end-to-end path and estimate available bandwidth based on round-trip-time measurements with low intrusiveness and short convergence time. We compare our tool with another state-of-the-art tool on an IEEE 802.11 wireless testbed, and the experimental results show that our tool has higher accuracy.https://doi.org/10.1177/1550147717694889
collection DOAJ
language English
format Article
sources DOAJ
author Tan Yang
Yuehui Jin
Yufei Chen
Yudong Jin
spellingShingle Tan Yang
Yuehui Jin
Yufei Chen
Yudong Jin
RT-WABest: A novel end-to-end bandwidth estimation tool in IEEE 802.11 wireless network
International Journal of Distributed Sensor Networks
author_facet Tan Yang
Yuehui Jin
Yufei Chen
Yudong Jin
author_sort Tan Yang
title RT-WABest: A novel end-to-end bandwidth estimation tool in IEEE 802.11 wireless network
title_short RT-WABest: A novel end-to-end bandwidth estimation tool in IEEE 802.11 wireless network
title_full RT-WABest: A novel end-to-end bandwidth estimation tool in IEEE 802.11 wireless network
title_fullStr RT-WABest: A novel end-to-end bandwidth estimation tool in IEEE 802.11 wireless network
title_full_unstemmed RT-WABest: A novel end-to-end bandwidth estimation tool in IEEE 802.11 wireless network
title_sort rt-wabest: a novel end-to-end bandwidth estimation tool in ieee 802.11 wireless network
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2017-02-01
description In 802.11 wireless network, a large number of multimedia applications are emerging. Accurate end-to-end bandwidth estimation techniques can help these applications adjust their behavior accordingly, such as stream’s bitrate adaptation, to improve quality of service. However, most current bandwidth estimation techniques are designed for wired networks that have high intrusiveness and consume long convergence time, which cannot be applied in resource-limited wireless network. In this article, we present a novel bandwidth estimation tool for IEEE 802.11 wireless network, which only needs to be deployed in one end of the end-to-end path and estimate available bandwidth based on round-trip-time measurements with low intrusiveness and short convergence time. We compare our tool with another state-of-the-art tool on an IEEE 802.11 wireless testbed, and the experimental results show that our tool has higher accuracy.
url https://doi.org/10.1177/1550147717694889
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