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Mobile Live Video Streaming Optimization via Crowdsourcing Brokerage

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Mobile Live Video Streaming Optimization via Crowdsourcing Brokerage. / Wu, Taotao; Dou, Wanchun; Ni, Qiang et al.
In: IEEE Transactions on Multimedia, Vol. 19, No. 10, 10.2017, p. 2267-2281.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Wu, T, Dou, W, Ni, Q, Yu, S & Chen, G 2017, 'Mobile Live Video Streaming Optimization via Crowdsourcing Brokerage', IEEE Transactions on Multimedia, vol. 19, no. 10, pp. 2267-2281. https://doi.org/10.1109/TMM.2017.2736963

APA

Wu, T., Dou, W., Ni, Q., Yu, S., & Chen, G. (2017). Mobile Live Video Streaming Optimization via Crowdsourcing Brokerage. IEEE Transactions on Multimedia, 19(10), 2267-2281. https://doi.org/10.1109/TMM.2017.2736963

Vancouver

Wu T, Dou W, Ni Q, Yu S, Chen G. Mobile Live Video Streaming Optimization via Crowdsourcing Brokerage. IEEE Transactions on Multimedia. 2017 Oct;19(10):2267-2281. Epub 2017 Aug 7. doi: 10.1109/TMM.2017.2736963

Author

Wu, Taotao ; Dou, Wanchun ; Ni, Qiang et al. / Mobile Live Video Streaming Optimization via Crowdsourcing Brokerage. In: IEEE Transactions on Multimedia. 2017 ; Vol. 19, No. 10. pp. 2267-2281.

Bibtex

@article{2dc7d2be9ee049ac95f0801240b8f2ff,
title = "Mobile Live Video Streaming Optimization via Crowdsourcing Brokerage",
abstract = "Nowadays, people can enjoy a rich real-time sensing cognition of what they are interested in anytime and anywhere by leveraging powerful mobile devices such as smartphones. As a key support for the propagation of these richer live media contents, cellular-based access technologies play a vital role to provide reliable and ubiquitous Internet access to mobile devices. However, these limited wireless network channel conditions vary and fluctuate depending on weather, building shields, congestion, etc., which degrade the quality of live video streaming dramatically. To address this challenge, we propose to use crowdsourcing brokerage in future networks which can improve each mobile user's bandwidth condition and reduce the fluctuation of network condition. Further, to serve mobile users better in this crowdsourcing style, we study the brokerage scheduling problem which aims at maximizing the user's QoE (quality of experience) satisfaction degree cost-effectively. Both offline and online algorithms are proposed to solve this problem. The results of extensive evaluations demonstrate that by leveraging crowdsourcing technique, our solution can cost-effectively guarantee a higher quality view experience.",
author = "Taotao Wu and Wanchun Dou and Qiang Ni and Shui Yu and Guihai Chen",
note = "{\textcopyright}2017 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2017",
month = oct,
doi = "10.1109/TMM.2017.2736963",
language = "English",
volume = "19",
pages = "2267--2281",
journal = "IEEE Transactions on Multimedia",
issn = "1520-9210",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "10",

}

RIS

TY - JOUR

T1 - Mobile Live Video Streaming Optimization via Crowdsourcing Brokerage

AU - Wu, Taotao

AU - Dou, Wanchun

AU - Ni, Qiang

AU - Yu, Shui

AU - Chen, Guihai

N1 - ©2017 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2017/10

Y1 - 2017/10

N2 - Nowadays, people can enjoy a rich real-time sensing cognition of what they are interested in anytime and anywhere by leveraging powerful mobile devices such as smartphones. As a key support for the propagation of these richer live media contents, cellular-based access technologies play a vital role to provide reliable and ubiquitous Internet access to mobile devices. However, these limited wireless network channel conditions vary and fluctuate depending on weather, building shields, congestion, etc., which degrade the quality of live video streaming dramatically. To address this challenge, we propose to use crowdsourcing brokerage in future networks which can improve each mobile user's bandwidth condition and reduce the fluctuation of network condition. Further, to serve mobile users better in this crowdsourcing style, we study the brokerage scheduling problem which aims at maximizing the user's QoE (quality of experience) satisfaction degree cost-effectively. Both offline and online algorithms are proposed to solve this problem. The results of extensive evaluations demonstrate that by leveraging crowdsourcing technique, our solution can cost-effectively guarantee a higher quality view experience.

AB - Nowadays, people can enjoy a rich real-time sensing cognition of what they are interested in anytime and anywhere by leveraging powerful mobile devices such as smartphones. As a key support for the propagation of these richer live media contents, cellular-based access technologies play a vital role to provide reliable and ubiquitous Internet access to mobile devices. However, these limited wireless network channel conditions vary and fluctuate depending on weather, building shields, congestion, etc., which degrade the quality of live video streaming dramatically. To address this challenge, we propose to use crowdsourcing brokerage in future networks which can improve each mobile user's bandwidth condition and reduce the fluctuation of network condition. Further, to serve mobile users better in this crowdsourcing style, we study the brokerage scheduling problem which aims at maximizing the user's QoE (quality of experience) satisfaction degree cost-effectively. Both offline and online algorithms are proposed to solve this problem. The results of extensive evaluations demonstrate that by leveraging crowdsourcing technique, our solution can cost-effectively guarantee a higher quality view experience.

U2 - 10.1109/TMM.2017.2736963

DO - 10.1109/TMM.2017.2736963

M3 - Journal article

VL - 19

SP - 2267

EP - 2281

JO - IEEE Transactions on Multimedia

JF - IEEE Transactions on Multimedia

SN - 1520-9210

IS - 10

ER -