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Tube streaming: Modelling collaborative media streaming in urban railway networks

Tasiopoulos, AG; Psaras, I; Sourlas, V; Pavlou, G; (2016) Tube streaming: Modelling collaborative media streaming in urban railway networks. In: 2016 IFIP Networking Conference (IFIP Networking 2016) and Workshops, Proceedings. (pp. pp. 359-367). Institute of Electrical and Electronics Engineers (IEEE) Green open access

Tasiopoulos et al Tube Streaming - Modelling Collaborative Media Streaming in Urban Railway Networks.pdf

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We propose a quality assessment framework for crowdsourced media streaming in urban railway networks. We assume that commuters either tune in to some TV/radio channel, or submit requests for content they desire to watch or listen to, which eventually forms a playlist of videos/podcasts/tunes. Given that connectivity is challenged by the movement of trains and the disconnection that this movement causes, users collabo-ratively download (through cellular and WiFi connections) and share content, in order to maintain undisrupted playback. We model collaborative media streaming for the case of the London Underground train network. The proposed quality assessment framework comprises a utility function which characterises the Quality of Experience (QoE) that users (subjectively) perceive and takes into account all the necessary parameters that affect smooth playback. The framework can be used to assess the media streaming quality in any railway network, after adjusting the related parameters. To the best of our knowledge, this is the first study to quantify the perceptual quality of collaborative media streaming in (underground) railway networks from a modelling perspective, as opposed to a systems perspective. Based on real commuter traces from the London Underground network, we evaluate whether audio and video can be streamed to commuters with acceptable QoE. Our results show that even with very high-speed Internet connection, users still experience disruptions, but a carefully designed collaborative mechanism can result in high levels of perceived QoE even in such disruptive scenarios.

Type: Proceedings paper
Title: Tube streaming: Modelling collaborative media streaming in urban railway networks
Event: 17-19 May 2016, Vienna, Austria
ISBN-13: 9783901882838
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/IFIPNetworking.2016.7497247
Publisher version: http://ieeexplore.ieee.org/document/7497247/
Language: English
Additional information: Copyright © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Crowdsourcing, Mobile Video/Audio Delivery, Collaborative Video/Audio Streaming
URI: http://discovery.ucl.ac.uk/id/eprint/1514948
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