Research Article
A Routing Strategy for GEO/LEO Satellite Network Based on Dynamic Delay Prediction and Link Control
@INPROCEEDINGS{10.1007/978-3-031-34790-0_1, author={Xixi Zheng and Jing Liu and Junrong Li and Dong Lv and Junle Liao and Xiang Chen and Terngyin Hsu}, title={A Routing Strategy for GEO/LEO Satellite Network Based on Dynamic Delay Prediction and Link Control}, proceedings={Communications and Networking. 17th EAI International Conference, Chinacom 2022, Virtual Event, November 19-20, 2022, Proceedings}, proceedings_a={CHINACOM}, year={2023}, month={6}, keywords={GEO/LEO double-layer satellite network Routing strategy Clustering mechanism Layered transmission}, doi={10.1007/978-3-031-34790-0_1} }- Xixi Zheng
Jing Liu
Junrong Li
Dong Lv
Junle Liao
Xiang Chen
Terngyin Hsu
Year: 2023
A Routing Strategy for GEO/LEO Satellite Network Based on Dynamic Delay Prediction and Link Control
CHINACOM
Springer
DOI: 10.1007/978-3-031-34790-0_1
Abstract
As an important part of modern communication, the satellite communication is attracting more and more attention. In recent years, the low earth orbit (LEO) satellite constellations are being developed vigorously. To achieve better performance and flexibility, many researchers have proposed to combine the LEO and geostationary earth orbit (GEO) satellites to construct a double-layer network. However, this double-layer structure brings significant challenges to the design of routing strategy. In this paper, we propose a routing strategy for GEO/LEO satellite network based on dynamic delay prediction and link control. In particular, we craft a link cost function that comprehensively considers the link load, queuing delay, processing delay and transmission delay. The cost function can provide more accurate estimation of the link delay compared with the existing methods roughly using hop counts. Based on it, the proposed double-layer strategy can not only optimize the end-to-end delay but also achieve better traffic balance. Simulations on STK and OPNET verify that the proposed approach can greatly improve the performance of packet loss rate, end-to-end delay and throughput.
