低轨卫星网络中面向时延优化的跨域边缘计算卸载策略

杨桂松; 黄业超; 何杏宇

doi:10.11959/j.issn.1000-0801.2025019

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低轨卫星网络中面向时延优化的跨域边缘计算卸载策略

研究 | 更新时间：2025-07-04

- 低轨卫星网络中面向时延优化的跨域边缘计算卸载策略
- Cross-Domain Edge Computing Offloading Strategy for Delay-Optimized in Low Earth Orbit Satellite Network
- 天地一体化信息网络 2025年6卷第2期页码：65-75
- 作者机构：
  
  1.上海理工大学光电信息与计算机工程学院，上海 200093
  2.上海理工大学出版学院，上海 200093
- 作者简介：
  
  [ "杨桂松（1982- ），男，上海理工大学光电信息与计算机工程学院副教授，CCF会员，主要研究方向为物联网、卫星网络、边缘计算与普适计算等。" ]
  [ "黄业超（2000- ），男，上海理工大学硕士生，主要研究方向为卫星计算卸载。" ]
  [ "何杏宇（1984- ），女，上海理工大学出版学院副教授，主要研究方向为无人系统和群智计算。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2025019
  中图分类号： TP393
- 收稿：2025-02-01，
  
  修回：2025-05-01，
  
  纸质出版：2025-06-20
- 稿件说明：
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杨桂松,黄业超,何杏宇.低轨卫星网络中面向时延优化的跨域边缘计算卸载策略[J].天地一体化信息网络,2025,06(02):65-75.

YANG Guisong,HUANG Yechao,HE Xingyu.Cross-Domain Edge Computing Offloading Strategy for Delay-Optimized in Low Earth Orbit Satellite Network[J].Space-Integrated-Ground Information Networks,2025,06(02):65-75.
杨桂松,黄业超,何杏宇.低轨卫星网络中面向时延优化的跨域边缘计算卸载策略[J].天地一体化信息网络,2025,06(02):65-75. DOI： 10.11959/j.issn.1000-0801.2025019.

YANG Guisong,HUANG Yechao,HE Xingyu.Cross-Domain Edge Computing Offloading Strategy for Delay-Optimized in Low Earth Orbit Satellite Network[J].Space-Integrated-Ground Information Networks,2025,06(02):65-75. DOI： 10.11959/j.issn.1000-0801.2025019.

摘要

随着卫星网络的发展，低轨卫星边缘计算被广泛应用以降低时延并提升任务处理效率。现有方法多采用集中式或分布式管理，前者信息收集时延高，灵活性不足，后者星间协作代价大，限制全局优化。为此，研究提出基于控制域划分的边缘计算卸载流程，并结合演员评论员算法，设计跨控制域计算卸载策略，实现任务调度与动态优化。仿真实验表明，该策略显著降低任务处理时延并提高任务完成率，验证了其在复杂低轨卫星网络中的适用性与性能优势。

Abstract

With the rapid development of satellite networks

edge computing on low earth orbit (LEO) satellites has been widely adopted to reduce latency and enhance task processing efficiency. Existing approaches primarily employ centralized or distributed management

where the former suffers from high information collection latency and limited flexibility

while the latter incurs high inter-satellite collaboration costs

restricting global optimization. To address these challenges

an edge computing offloading process based on control domain partitioning is designed

and a latency-optimized cross-domain computing offloading strategy using the Actor-Critic algorithm is proposed. This strategy enables efficient task scheduling and dynamic optimization across computing control domains. Simulation results show that the proposed approach significantly reduces task processing latency and improves task completion rates

demonstrating its applicability and performance advantages in complex LEO satellite networks.

关键词

Keywords

references

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