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<p>Existing file transfer protocols for Low Earth Orbit (LEO) satellite-to-ground transmission often suffer from delayed adaptation of retransmission strategies and excessive ineffective retransmissions. To address these challenges, this paper proposes a reliable file transfer method based on progressive probabilistic retransmission. By analyzing the latency distribution of the satellite-to-ground links, we designed an online detection algorithm to perceive real-time link status changes, enabling rapid adjustments to retransmission strategy. Furthermore, we proposed a probabilistic retransmission mechanism that dynamically adapts to payload differences and task progress, thereby reducing ineffective retransmissions caused by inaccurate timeout threshold estimations and improving overall retransmission efficiency. Experimental results demonstrate that, compared with existing protocols, the proposed method reduces transmission time by 4.48%–32.46% and decreases the retransmission rate by 20.32%–83.79%. These results confirm that our approach can promptly detect link status variations, adjust retransmission strategies in real time, and effectively meet the efficiency requirements of satellite-to-ground transmission environments.</p>

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Progressive probabilistic retransmission method for reliable satellite-to-ground file transfer in LEO environment

  • 期刊论文

  • 发表日期：

    2025年10月27日

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  • Chuangyu Yu,
  • Shaoming Pan,
  • Wenping Song

摘要

Existing file transfer protocols for Low Earth Orbit (LEO) satellite-to-ground transmission often suffer from delayed adaptation of retransmission strategies and excessive ineffective retransmissions. To address these challenges, this paper proposes a reliable file transfer method based on progressive probabilistic retransmission. By analyzing the latency distribution of the satellite-to-ground links, we designed an online detection algorithm to perceive real-time link status changes, enabling rapid adjustments to retransmission strategy. Furthermore, we proposed a probabilistic retransmission mechanism that dynamically adapts to payload differences and task progress, thereby reducing ineffective retransmissions caused by inaccurate timeout threshold estimations and improving overall retransmission efficiency. Experimental results demonstrate that, compared with existing protocols, the proposed method reduces transmission time by 4.48%–32.46% and decreases the retransmission rate by 20.32%–83.79%. These results confirm that our approach can promptly detect link status variations, adjust retransmission strategies in real time, and effectively meet the efficiency requirements of satellite-to-ground transmission environments.