计算机科学 ›› 2025, Vol. 52 ›› Issue (11): 289-297.doi: 10.11896/jsjkx.240900001

• 计算机网络 • 上一篇    下一篇

基于虚拟坐标的低轨卫星缓存部署策略

张泰1, 杜书2, 陈少磊3   

  1. 1 国网四川省电力公司电力科学研究院 成都 610000
    2 国网四川省电力公司信息通信公司 成都 610000
    3 国网四川省电力公司 成都 610000
  • 收稿日期:2024-09-02 修回日期:2024-12-02 出版日期:2025-11-15 发布日期:2025-11-06
  • 通讯作者: 张泰(arcaffier@163.com)
  • 基金资助:
    国网四川省电力公司2023年“揭榜挂帅”科技项目(521947230008)

Virtual Coordinate-based Deployment Strategy for Low-orbit Satellite Caching

ZHANG Tai1, DU Shu2, CHEN Shaolei3   

  1. 1 Research Institute of Electric Power Science of State Grid Sichuan Electric Power Company,Chengdu 610000,China
    2 State Grid Sichuan Electric Power Company Information and Communication Company,Chengdu 610000,China
    3 State Grid Power Company of Sichuan Province,Chengdu 610000,China
  • Received:2024-09-02 Revised:2024-12-02 Online:2025-11-15 Published:2025-11-06
  • About author:ZHANG Tai,born in 1982,Ph.D,senior engineer.His main research interests include wireless communication technology and network security.
  • Supported by:
    State Grid Sichuan Electric Power Company 2023 “Unveiling the List of Commanders” Science and Technology Project(521947230008).

摘要: 在高速发展的卫星通信网络领域,海量内容分发的高效性与资源利用率之间存在矛盾。对此,研究者提出了基于信息中心网络(Information-Centric Networking,ICN)的网内缓存技术,以提高内容获取的即时性。然而,由于低轨卫星节点资源承载能力有限且面临能耗问题,传统方法难以实现缓存部署的最优化。为攻克这一难题,设计了基于虚拟坐标的低轨卫星缓存节点部署策略。该策略首先从实际需求着手,按照地面用户的内容请求密度进行区域划分,从而精准确定缓存需求热点。接着,引入虚拟坐标系,采用层级映射的方式,将复杂的空间关系转换为易于处理的数学模型。在此基础上,运用加权聚类算法对缓存节点的布局进行优化,实现了卫星网络中缓存资源的合理配置。实验结果表明,该策略能够有效降低用户通过卫星网络获取内容的时延,在提升整体性能方面具有显著优势,并且在能耗方面实现降低了15%以上。在电网应急等关键领域,该策略通过预先缓存关键的紧急信息,在通信中断时支持快速命令交付和修复。这种方法可以优化供电可靠性,对维护社会稳定大有裨益,应用前景广阔。在电网发生故障时,预缓存的应急信息可实现快速响应和恢复工作,最大限度地减少对社会的影响。此外,由于提高了内容访问速度并降低了能耗,这一策略成为卫星通信网络领域的宝贵财富。

关键词: 低轨卫星网络, 信息中心网络, 虚拟坐标系, 缓存节点部署, 电网应急场景

Abstract: In the swiftly advancing domain of satellite communication networks,a significant challenge arises concerning the efficient distribution of massive content volumes and optimal resource utilization.To tackle this issue,an in-network caching solution grounded in ICN has been proposed,in order to improve the immediacy and efficiency of content retrieval.Despite these advancements,low-earth orbit(LEO)satellites face constraints due to their limited onboard storage capabilities and energy consumption,making traditional caching strategies suboptimal.This paper introduces an innovative deployment methodology for cache nodes within LEO satellites using virtual coordinates.The approach begins by assessing real-world demand,segmenting service areas according to the density of content requests from terrestrial users.This segmentation enables the precise identification of caching demand hotspots.To simplify the intricate spatial relationships involved,a hierarchical mapping technique is utilized,translating these complexities into a more manageable mathematical framework.Building upon this foundation,a weighted clustering algorithm is then applied to refine the placement of cache nodes,thereby optimizing the allocation of caching resources across the sa-tellite network.Empirical evaluations affirm that this method not only significantly decreases user content acquisition latency but also achieves an energy consumption reduction exceeding 15%.These enhancements underscore the potential of this strategy to elevate the operational performance of the system.In critical scenarios,such as power grid emergencies,the pre-positioning of essential emergency data facilitates swift command dissemination and repair coordination amid communication disruptions,bolstering the reliability of power supply maintenance.Consequently,this approach not only aids in expediting societal stabilization efforts but also heralds extensive application prospects.For example,in the event of a power grid failure,pre-stored emergency instructions can expedite recovery operations,thereby mitigating broader societal impacts.Additionally,the enhanced content accessibility coupled with lower energy expenditure positions this strategy as a pivotal advancement in the realm of satellite communication networks.

Key words: Low orbit satellite network, Information center network, Virtual coordinate system, Cache node deployment, Grid emergency scenarios

中图分类号: 

  • TN927
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