Management of MEC Service and Optimization of Mission Migration in LEO Satellite Networks

Zhihui LIU; Huan WEI; Jie YIN; Junyi WANG; Shichao JIN; Tao DONG

doi:10.11959/j.issn.2096-8930.2022034

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Management of MEC Service and Optimization of Mission Migration in LEO Satellite Networks

Special Issue: World-Earth Integration Software-Defined Network | 更新时间：2024-06-03

- Management of MEC Service and Optimization of Mission Migration in LEO Satellite Networks
- Space-Integrated-Ground Information Networks Vol. 3, Issue 3, Pages: 72-80(2022)
- 作者机构：
  
  1. 航天恒星科技有限公司天地一体化信息技术国家重点实验室，北京 100095
  2. 桂林电子科技大学信息与通信学院，广西桂林 541004
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-8930.2022034
  CLC： TP393
- Published Online：2022-09，
  
  Published：20 September 2022
- 稿件说明：
移动端阅览
Zhihui LIU, Huan WEI, Jie YIN, et al. Management of MEC Service and Optimization of Mission Migration in LEO Satellite Networks[J]. Space-integrated-ground information networks, 2022, 3(3): 72-80.
DOI：

Zhihui LIU, Huan WEI, Jie YIN, et al. Management of MEC Service and Optimization of Mission Migration in LEO Satellite Networks[J]. Space-integrated-ground information networks, 2022, 3(3): 72-80. DOI： 10.11959/j.issn.2096-8930.2022034.

摘要

低地球轨道（Low Earth Orbit

LEO）卫星因具有传输时延短、部署成本低等优势，在对地观测、广域覆盖的通信中发挥重要作用。由于LEO卫星平台体积和重量限制，每个LEO卫星节点的功能相对单一，需要多种功能的LEO卫星节点间高效协同，形成功能分散、能力聚合的高性能卫星网络。这对网络的服务管理提出了一定的要求。针对遥感观测卫星向部署有移动边缘计算（Mobile Edge Computing

MEC）服务的LEO卫星星座迁移观测任务数据的协作场景，研究LEO卫星网络中基于软件定义网络的MEC服务管理模型，提出结合时间扩展图思想的跨时隙任务迁移优化方法。仿真结果表明该方法能有效地降低观测卫星处理任务的成本，并可为部署MEC服务器的LEO卫星网络提供管理模型。

Abstract

Low earth orbit (LEO) satellites play an important role in the communication of earth observation and wide area coverage because of their advantages of short transmission delay and low deployment cost.Due to limited size and weight of LEO satellite platform

the function of each LEO satellite node is relatively single

which requires effi cient collaboration among various LEO satellite nodes to form a high-performance satellite network with decentralized functions and converged capabilities.It puts forward certain requirements for network service management.Aiming at the cooperative scenario that remote sensing satellites migrate observated task data to LEO satellite constellation with mobile edge computing (MEC) service deployed

the MEC service management model based on software defi ned network in LEO satellite networks was studied

a cross-slot task migration optimization method with the aid of time extended graph was proposed.The simulation results showed that the task migration optimization method could eff ectively reduced the cost of observation satellite processing tasks.And it could off ered the management model for LEO satellite networks that deployed MEC servers.

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