A Review on Congestion Control for Internet of Deep Space Things Communication

Abstract

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.