Silva, Fabio ORCID: 0000-0001-6019-372X, Bogusevschi, Diana ORCID: 0000-0003-1964-5178 and Muntean, Gabriel-Miro ORCID: 0000-0002-9332-4770 (2018) A MPTCP-based RTT-aware packet Delivery prioritisation algorithm in AR/VR scenarios. In: 14th International Wireless Communications & Mobile Computing Conference (IWCMC), 25-29 June 2018, Limassol, Cyprus.
Abstract
This work proposes, describes and performs performance analysis of a Round-Trip Time (RTT)-aware packet delivery prioritisation algorithm (RDPA) for networked Augmented Reality/Virtual Reality (AR/VR) content distribution. In this approach, the proposed algorithm uses the built-in multipath delivery feature of MPTCP. RDPA tracks, identifies and redirects the priority packets through the subflow that presents best opportunities to deliver the content with the lowest latency in the next transmission interval. This subflow selection is based on a linear regression that analyses each subflow behaviour and identifies the best subflow in terms of latency. The assessment of this algorithm is performed in a Network Simulator 3-based simulation environment and indicates performance improvements varying from 8% to 36% (peak performance) when compared with the MPTCP default operation.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | MPTCP; RTT-aware algorithm; prioritised content delivery; AR/VR |
Subjects: | Computer Science > Computer networks Computer Science > Machine learning Computer Science > Multimedia systems Engineering > Telecommunication Engineering > Electronic engineering |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering Research Institutes and Centres > Lero: The Irish Software Engineering Research Centre |
Published in: | 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC). . IEEE. |
Publisher: | IEEE |
Official URL: | https://dx.doi.org/10.1109/IWCMC.2018.8450524 |
Copyright Information: | © 2018 IEEE |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | European Union’s Horizon 2020 Research and Innovation programme under grant agreement No 688503. |
ID Code: | 26037 |
Deposited On: | 28 Jun 2021 10:26 by Fabio Rodrigues Da silva . Last Modified 28 Jun 2021 10:41 |
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