Load optimization strategy for low earth orbit satellite communication systems based on critical node analysis

MI Yuting; ZHAO Bai; LIU Xiaoyu; OUYANG Jian; LIN Min

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Load optimization strategy for low earth orbit satellite communication systems based on critical node analysis

更新时间：2026-03-03

- Load optimization strategy for low earth orbit satellite communication systems based on critical node analysis
- Chinese Journal on Internet of Things (2026)
- 作者机构：
  
  南京邮电大学通信与信息工程学院，江苏南京 210003
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62471255)
- DOI：
  CLC： TN927
- Received：15 November 2024，
  
  Revised：2024-12-09，
  
  Accepted：08 January 2025，
- 稿件说明：
移动端阅览
MI Yuting, ZHAO Bai, LIU Xiaoyu, et al. Load optimization strategy for low earth orbit satellite communication systems based on critical node analysis[J/OL]. Chinese Journal on Internet of Things, 2026.
DOI：

MI Yuting, ZHAO Bai, LIU Xiaoyu, et al. Load optimization strategy for low earth orbit satellite communication systems based on critical node analysis[J/OL]. Chinese Journal on Internet of Things, 2026. DOI：

摘要

在低轨卫星网络中，受卫星轨道参数和地面站位置分布的影响，当遇到大规模交叉流量并行传输时，许多流量会同时经过关键节点导致链路拥塞，从而降低整个系统的性能甚至无法正常通信。针对这个问题，首先利用虚拟拓扑法将卫星轨迹的动态变化转化成一系列时序静态拓扑图。其次，结合节点的度属性与其邻边的边介数信息，从信息传输角度对每个时隙的卫星节点重要度进行评估，并进一步提出基于关键节点分析的低轨卫星通信系统负载优化策略，依据每个节点的重要度评估值对路径进行规划，缓解高负载下关键节点的传输压力，为处理低轨卫星网络中的节点拥塞问题提出了一个新思路。最后，在Hypatia平台的基础上对所提出的负载优化策略进行了仿真验证。结果表明，与常用的最短路径路由方法相比，所提出的负载优化策略能够在高负载情况下有效利用原本闲置的链路，并合理规避易拥塞的卫星节点，在提升系统吞吐量的同时降低信息传输的端到端时延。

Abstract

In low Earth orbit (LEO) satellite networks

the influence of satellite orbital parameters and the distribution of ground stations can lead to link congestion during large-scale

parallel cross-traffic transmissions

as many data flows simultaneously pass through critical nodes. This congestion may degrade overall system performance or even disrupt normal communication. To address this issue

a virtual topology approach is employed to convert the dynamic trajectory changes of satellites into a series of sequential static topology graphs. Next

each satellite node's importance in each time slot is assessed from the perspective of information transmission

using the node degree and the betweenness centrality of its neighboring edges. A load optimization strategy for LEO satellite communication systems is then proposed

based on critical node analysis. This strategy plans routes according to each node's importance assessment value

alleviating transmission pressure on critical nodes under high load conditions and providing a new approach for addressing node congestion in LEO satellite networks. Finally

the proposed load optimization strategy is validated through simulations on the Hypatia platform. The results indicate that

compared to the conventional shortest path routing method

the proposed strategy effectively utilizes previously idle links and reasonably avoids congestion-prone satellite nodes

enhancing system throughput while reducing end-to-end transmission delay.

关键词

Keywords

references

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