Bikas, Shadi and Sayit, Muge (2024) Improving QoE With Genetic Algorithm-Based Path Selection for MPTCP. IEEE Transactions on Network and Service Management, 21 (4). pp. 3874-3888. DOI https://doi.org/10.1109/tnsm.2024.3411104
Bikas, Shadi and Sayit, Muge (2024) Improving QoE With Genetic Algorithm-Based Path Selection for MPTCP. IEEE Transactions on Network and Service Management, 21 (4). pp. 3874-3888. DOI https://doi.org/10.1109/tnsm.2024.3411104
Bikas, Shadi and Sayit, Muge (2024) Improving QoE With Genetic Algorithm-Based Path Selection for MPTCP. IEEE Transactions on Network and Service Management, 21 (4). pp. 3874-3888. DOI https://doi.org/10.1109/tnsm.2024.3411104
Abstract
Multipath TCP (MPTCP) is a protocol that enables the use of more than one subflow under the same TCP connection, which provides increased throughput due to the aggregated bandwidth. Therefore, the use of MPTCP can be very beneficial to video streaming applications since bandwidth is the most crucial parameter that improves the performance of such applications. However, the characteristics of the subflow paths might have a significant impact on application performance. In this study, we propose a path selection approach for MPTCP subflows in order to maximize the Quality of Experience (QoE) for adaptive HTTP streaming systems, which is currently one of the most popular video streaming application techniques. The paths are selected on the network layer by taking the bandwidth and delay differences into account. The disjointness of the paths is also considered in the proposed path selection approach. A genetic algorithm-based approach is utilized for the selection of the paths. Furthermore, we indicate how the characteristics of the paths affect QoE. The experimental results indicate that considering bandwidth and delay difference parameters jointly helps increase all QoE metrics, compared to the approaches that select paths considering either bandwidth or delay difference.
Item Type: | Article |
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Uncontrolled Keywords: | Adaptive streaming; SDN; Routing; Genetic algorithm |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 09 Jul 2024 11:35 |
Last Modified: | 29 Aug 2024 17:49 |
URI: | http://repository.essex.ac.uk/id/eprint/38598 |
Available files
Filename: MultipathTCP_Final.pdf