Traffic-Load-Aware Multipath Routing in LEO Satellite Networks

In this paper, we present a traffic-load-aware multipath routing algorithm in LEO satellite networks. The MDL algorithm has three main components: network state collection, link cost definition, and multipath routing. Network state collection builds a shared information repository and topology. Link cost calculations guide path selection. The multipath routing mechanism identifies the optimal path and an alternative one. If the optimal path faces node failure or congestion, traffic can be rerouted through the alternative path, reducing network congestion effectively. Simulation results show that it can decrease latency and increase throughput compared to baseline algorithms.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icicc63565.2024.10780664
Citations
1
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
1.30
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Traffic-Load-Aware Multipath Routing in LEO Satellite Networks

Ruoqi Shi, Shangshang Qin, Bin Lu, Pengfei Liu et al.
1 citations
Satellite Communication Systems
1.30
article

Traffic-Load-Aware Multipath Routing in LEO Satellite Networks

Ruoqi Shi, Shangshang Qin, Bin Lu, Pengfei Liu, Xin Miao, Haicheng Li, Pao Cheng, Ke Wang, Yan Wang
article en
1 citations

Abstract

In this paper, we present a traffic-load-aware multipath routing algorithm in LEO satellite networks. The MDL algorithm has three main components: network state collection, link cost definition, and multipath routing. Network state collection builds a shared information repository and topology. Link cost calculations guide path selection. The multipath routing mechanism identifies the optimal path and an alternative one. If the optimal path faces node failure or congestion, traffic can be rerouted through the alternative path, reducing network congestion effectively. Simulation results show that it can decrease latency and increase throughput compared to baseline algorithms.

China Academy of Space Technology (CN), Zhengzhou University (CN), Shanghai Micro Satellite Engineering Center (CN)
Openalex Percentile: Top 11%
Satellite Communication Systems
1.30
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