Network Coding-Based Multipath Transmission for LEO Satellite Networks With Domain Cluster

• Published in: IEEE internet of things journal Vol. 11; no. 12; pp. 21659 - 21673
• Main Authors: Ouyang, Man, Zhang, Ran, Wang, Bingqing, Liu, Jiang, Huang, Tao, Liu, Liang, Tong, Jincheng, Xin, Ning, Yu, F. Richard
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 15.06.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Bandwidth; Bandwidths; Clustering; Coding; Data transmission; Delays; Domain clustering architecture; Encoding; Low earth orbit satellites; Low earth orbits; low-Earth orbit (LEO) satellite networks; Mixed integer; multipath quick UDP Internet connection (MPQUIC); Multipath transmission; Network coding; network coding (NC); Network latency; Nonlinear programming; Resource utilization; Routing; Satellite networks; Satellites; software defined networking
• ISSN: 2327-4662; 2327-4662
• DOI: 10.1109/JIOT.2024.3378177

In the large-scale dynamic low-Earth orbit (LEO) satellite networks, the conventional TCP-based single-path transmission encounters challenges, such as prolonged propagation delay, frequent connection failures, and suboptimal resource utilization. In this article, we propose an integrated multipath network coding (IMPNC) transmission scheme. This scheme leverages multiple paths for end-to-end transmission to achieve bandwidth aggregation and redundant backup. The multipath transmission is facilitated by multipath quick UDP Internet connection (MPQUIC) protocol to adapt to the limited satellite bandwidth and caching resources. The proposed approach involves encoding packets at nodes along the paths, addressing the significant out-of-order problem arising from variable delays on different paths. Additionally, we present a software-defined networking (SDN)-based domain clustering architecture, which offers a more streamlined control approach, reducing overall complexity. Furthermore, we formulate the domain clustering problems as mixed-integer nonlinear programming and the coding-based routing problem as a Steiner tree problem. Evaluation results demonstrate that the proposed scheme effectively reduces the latency over 25.1%, enhances bandwidth utilization by 19.6%, and ensures reliable data transmission by reducing retransmission probability by 4.1%.