TY - GEN
T1 - A Routing Strategy for GEO/LEO Satellite Network Based on Dynamic Delay Prediction and Link Control
AU - Zheng, Xixi
AU - Liu, Jing
AU - Li, Junrong
AU - Lv, Dong
AU - Liao, Junle
AU - Chen, Xiang
AU - Hsu, Terngyin
N1 - Publisher Copyright:
© 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Clustering mechanism
KW - GEO/LEO double-layer satellite network
KW - Layered transmission
KW - Routing strategy
UR - http://www.scopus.com/inward/record.url?scp=85164267735&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-34790-0_1
DO - 10.1007/978-3-031-34790-0_1
M3 - Conference contribution
AN - SCOPUS:85164267735
SN - 9783031347894
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 3
EP - 17
BT - Communications and Networking - 17th EAI International Conference, Chinacom 2022, Proceedings
A2 - Gao, Feifei
A2 - Wu, Jun
A2 - Li, Yun
A2 - Gao, Honghao
PB - Springer Science and Business Media Deutschland GmbH
T2 - 17th International Conference on Communications and Networking, ChinaCom 2022
Y2 - 19 November 2022 through 20 November 2022
ER -