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 o...

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Bibliographic Details
Published in:	2023 International Conference on Information Networking (ICOIN) pp. 715 - 718
Main Authors:	Masood, Arooj, Ha, Taeyun, Shumeye Lakew, Demeke, Dao, Nhu-Ngoc, Thien Hua, Duc, Woraphonbenjakul, Geeranuch, Cho, Sungrae
Format:	Conference Proceeding
Language:	English
Published:	IEEE 11-01-2023
Subjects:	Congestion control Deep-space communications Earth Internet Internet of deep space things Machine learning Reliability Space vehicles Transport protocols
Online Access:	Get full text
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Summary:	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.
DOI:	10.1109/ICOIN56518.2023.10048993