Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/90125
Title: Streaming high-definition real-time video to mobile devices with partially reliable transfer
Authors: Wu, Jiyan
Tan, Rui
Wang, Ming
Keywords: Stringent Delay Constraint
DRNTU::Engineering::Computer science and engineering
Mobile Video Streaming
Issue Date: 2019
Source: Wu, J., Tan, R., & Wang, M. (2019). Streaming High-Definition Real-Time Video to Mobile Devices with Partially Reliable Transfer. IEEE Transactions on Mobile Computing, 18(2), 458-472. doi:10.1109/TMC.2018.2836914
Series/Report no.: IEEE Transactions on Mobile Computing
Abstract: Delivering High-Definition (HD) real-time video to mobile devices is challenged with stringent constraints in delay and reliability. In the presence of network dynamics (e.g., channel errors and bandwidth fluctuations), the existing error-control mechanisms [e.g., Automatic Repeat reQuest (ARQ) and Forward Error Correction (FEC)] frequently induce deadline violations and quality degradations. To strike an effective balance between delay and reliability in real-time video transmission, this research presents an application-layer solution dubbed Partial rEliability based Real-timEStreaming (PERES) to perform partially reliable transfer. First, we develop an analytical framework to model the delay-constrained partial reliability for acknowledgement (ACK) and negative acknowledgement (NAK) based real-time video streaming. Second, we propose scheduling algorithms for video-aware reliability adaptation and network-adaptive buffer control. PERES is able to maximize the transmission reliability of high-priority video frames within stringent delay constraint. We implement the proposed transmission scheme in embedded video monitoring systems and evaluate the efficacy over different wireless network environments. Evaluation results demonstrate PERES achieves appreciable improvements over the reference schemes in perceptual video quality, delay performance, and bandwidth efficiency.
URI: https://hdl.handle.net/10356/90125
http://hdl.handle.net/10220/48418
ISSN: 1536-1233
DOI: 10.1109/TMC.2018.2836914
Rights: © 2018 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. The published version is available at: https://doi.org/10.1109/TMC.2018.2836914.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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