卫星网络多路径 QUIC 传输的 SDN 改进方案

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Computational Intelligence Pub Date : 2024-06-18 DOI:10.1111/coin.12650
Hongxin Ma, Meng Wang, Hao Lv, Jinyao Liu, Xiaoqiang Di, Hui Qi
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引用次数: 0

摘要

近年来,随着低地轨道宽带卫星的发展,卫星网络多路径传输与软件定义网络(SDN)的结合得到了快速发展。SDN 与多路径传输的结合有助于提高传输效率,减少网络拥塞。然而,当前的 SDN 控制器不支持多路径 QUIC 协议(MPQUIC),而且当前卫星网络中使用的基于最小跳数的路由算法难以满足某些应用的实时性要求。因此,本文设计并实现了一种支持 MPQUIC 协议的 SDN 控制器,并提出了一种基于多目标优化的路由算法。该算法选择传播延迟较低、可用带宽较高的路径进行子流传输,以提高传输吞吐量。考虑到卫星节点的高速移动性和频繁的链路切换,本文还设计了一种基于卫星网络拓扑可预测性的流表更新算法。它能在链路切换时主动重路由,确保稳定传输。本文通过卫星网络仿真环境评估了所提解决方案的性能。实验结果表明,SDN-MPQUIC 显著提高了性能指标:与 QSMPS 相比,它将平均完成时间缩短了 37.3% 至 59.3%;与 Disjoint 相比,它将不同大小文件的平均完成时间缩短了 52.8% 至 72.4%。此外,与 QSMPS 相比,SDN-MPQUIC 的平均吞吐量提高了 81.4%,与 Disjoint 相比提高了 147.8%,而重传率则比 QSMPS 低 26.3%。
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A SDN improvement scheme for multi-path QUIC transmission in satellite networks

In recent years, with the development of low-earth orbit broadband satellites, the combination of multi-path transmission and software-defined networking (SDN) for satellite networks has seen rapid advancement. The integration of SDN and multi-path transmission contributes to improving the efficiency of transmission and reducing network congestion. However, the current SDN controllers do not support the multi-path QUIC protocol (MPQUIC), and the routing algorithm used in current satellite networks based on minimum hop count struggles to meet the real-time requirements for some applications. Therefore, this paper designs and implements an SDN controller that supports the MPQUIC protocol and proposes a multi-objective optimization-based routing algorithm. This algorithm selects paths with lower propagation delays and higher available bandwidth for subflow transmission to improve transmission throughput. Considering the high-speed mobility of satellite nodes and frequent link switching, this paper also designs a flow table update algorithm based on the predictability of satellite network topology. It enables proactive rerouting upon link switching, ensuring stable transmission. The performance of the proposed solution is evaluated through satellite network simulation environments. The experimental results highlight that SDN-MPQUIC significantly improves performance metrics: it reduces average completion time by 37.3% to 59.3% compared to QSMPS and by 52.8% to 72.4% compared to Disjoint for files with different sizes. Additionally, SDN-MPQUIC achieves an average throughput improvement of 81.4% compared to QSMPS and 147.8% compared to Disjoint, while demonstrating a 26.3% lower retransmission rate than QSMPS.

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来源期刊
Computational Intelligence
Computational Intelligence 工程技术-计算机:人工智能
CiteScore
6.90
自引率
3.60%
发文量
65
审稿时长
>12 weeks
期刊介绍: This leading international journal promotes and stimulates research in the field of artificial intelligence (AI). Covering a wide range of issues - from the tools and languages of AI to its philosophical implications - Computational Intelligence provides a vigorous forum for the publication of both experimental and theoretical research, as well as surveys and impact studies. The journal is designed to meet the needs of a wide range of AI workers in academic and industrial research.
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