深空物联网通信拥塞控制研究进展

Arooj Masood, Taeyun Ha, D. Lakew, Nhu-Ngoc Dao, D. Hua, Geeranuch Woraphonbenjakul, Sungrae Cho
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引用次数: 0

摘要

在深空物联网(IoDST)通信中,任务航天器产生大量任务关键数据,并将其传输到地球。传输层协议对于此类数据的可靠传输至关重要。然而,传统的传输协议在星际链路上表现出较差的性能。本文研究了iost通信中的传输层问题。此外,我们回顾了用于iost通信的传输控制协议(TCP)拥塞控制(CC)方法,并讨论了当前基于机器学习(ML)的CC方法。最后,我们指出了挑战和开放的研究问题,以促进该领域的进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review on Congestion Control for Internet of Deep Space Things Communication
In an Internet of deep space things (IoDST) communication, missions spacecrafts produce vast amounts of missioncritical data to be transmitted to Earth. Transport layer protocols are crucial for reliable transport of such data. However, the conventional transport protocols exhibit poor performance on interplanetary links. In this paper, we study the transport layer issues in an IoDST communication. In addition, we provide a review on transmission control protocol (TCP) congestion control (CC) approaches for IoDST communication and discuss the current machine learning (ML) based efforts in CC. Finally, we point out the challenges and open research issues to spur further investigation in this area.
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