PDASTSGAT: An STSGAT-Based Multipath Data Scheduling Algorithm

How to select the transmitting path in MPTCP scheduling is an important but open problem. This paper proposes an intelligent data scheduling algorithm using spatiotemporal synchronous graph attention neural networks to improve MPTCP scheduling. By exploiting the spatiotemporal correlations in the da...

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Bibliographic Details
Published inAlgorithms Vol. 17; no. 4; p. 145
Main Authors Xue, Sen, Wu, Chengyu, Han, Jing, Zhan, Ao
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.04.2024
Subjects
Algorithms
Bandwidths
Data transmission
Deep learning
graph neural networks
Graph representations
MPTCP
Network management systems
Neural networks
Packet transmission
Protocol
Scheduling
self-attention mechanisms
Transmission Control Protocol/Internet Protocol (Computer network protocol)
Online AccessGet full text
ISSN1999-4893
1999-4893
DOI10.3390/a17040145

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Summary:How to select the transmitting path in MPTCP scheduling is an important but open problem. This paper proposes an intelligent data scheduling algorithm using spatiotemporal synchronous graph attention neural networks to improve MPTCP scheduling. By exploiting the spatiotemporal correlations in the data transmission process and incorporating graph self-attention mechanisms, the algorithm can quickly select the optimal transmission path and ensure fairness among similar links. Through simulations in NS3, the algorithm achieves a throughput gain of 7.9% compared to the PDAA3C algorithm and demonstrates improved packet transmission performance.
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ISSN:1999-4893
1999-4893
DOI:10.3390/a17040145