基于稀疏网络编码的移动边缘缓存网络稳健性维持方法研究

殷俊; 夏欣然; 张登银; 柯亚琪; 杨余旺

doi:10.11959/j.issn.2096-3750.2025.00387

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基于稀疏网络编码的移动边缘缓存网络稳健性维持方法研究

理论与技术 | 更新时间：2025-07-29

- 基于稀疏网络编码的移动边缘缓存网络稳健性维持方法研究
- Research on robustness maintenance for sparse network coding based mobile edge caching network
- 物联网学报 2025年9卷第2期页码：214-222
- 作者机构：
  
  1.南京邮电大学物联网学院，江苏南京 210003
  2.南京理工大学计算机科学与工程学院，江苏南京 210094
- 作者简介：
  
  [ "殷俊（1989‒ ），男，南京邮电大学物联网学院副教授，主要研究方向为网络编码理论及其在物联网的应用。" ]
  [ "夏欣然（2000‒ ），女，南京邮电大学物联网学院硕士生，主要研究方向为网络编码。" ]
  [ "张登银（1964‒ ），男，博士，南京邮电大学物联网学院研究员，主要研究方向为现代通信网络、信号与信息处理技术等。" ]
  [ "柯亚琪（1992‒ ），女，南京理工大学计算机科学与工程学院博士生，主要研究方向为物联网。" ]
  [ "杨余旺（1966‒ ），男，南京理工大学计算机科学与工程学院教授，主要研究方向为下一代网络、编码理论与应用、物联网等。" ]
- 基金信息：
  
  国防基础科研计划项目（No. JCKY2023***007）;南邮自然科学基金资助项目(NY221095;NY223106);江苏省研究生实践创新计划项目(SJCX24_0335)
- DOI：10.11959/j.issn.2096-3750.2025.00387
  中图分类号： TN929.5
- 收稿日期：2023-12-05，
  
  修回日期：2024-03-11，
  
  纸质出版日期：2025-06-10
- 稿件说明：
移动端阅览
殷俊,夏欣然,张登银等.基于稀疏网络编码的移动边缘缓存网络稳健性维持方法研究[J].物联网学报,2025,09(02):214-222.

YIN Jun,XIA Xinran,ZHANG Dengyin,et al.Research on robustness maintenance for sparse network coding based mobile edge caching network[J].Chinese Journal on Internet of Things,2025,09(02):214-222.
殷俊,夏欣然,张登银等.基于稀疏网络编码的移动边缘缓存网络稳健性维持方法研究[J].物联网学报,2025,09(02):214-222. DOI： 10.11959/j.issn.2096-3750.2025.00387.

YIN Jun,XIA Xinran,ZHANG Dengyin,et al.Research on robustness maintenance for sparse network coding based mobile edge caching network[J].Chinese Journal on Internet of Things,2025,09(02):214-222. DOI： 10.11959/j.issn.2096-3750.2025.00387.

摘要

稀疏网络编码通过对若干数据块进行线性组合后再存储可提高移动边缘缓存（MEC

mobile edge caching）网络的缓存空间利用率，降低内容调度的开销和复杂度。但MEC网络采用普通用户设备作为缓存节点存储这些编码内容，因此用户设备的离开/失效会削弱该方法的健壮性。针对缓存节点失效后的编码内容恢复问题，首先，提出了一种基于查找表的编码内容管理方法，可有效地组织缓存节点的稀疏编码内容；其次，建立了失效内容恢复的数学问题模型，并证明了该问题属于NP类问题；最后，鉴于问题求解复杂性，给出了一种启发式的失效节点内容恢复算法以维持MEC网络的健壮性，先寻找可行的备用缓存节点集合，再恢复失效内容。仿真测试进一步验证了该算法在恢复时延和恢复能耗上的良好性能。

Abstract

Sparse network coding

achieved by linearly combining several data blocks before storage

can enhance the cache space utilization of mobile edge caching (MEC) networks

reduce content scheduling overhead and complexity. However

as MEC networks utilize ordinary user devices as cache nodes to store this encoded content

the departure or failure of these user devices undermines the robustness of this approach in the network. In order to address the recovery of encoded content following cache nodes' failures

firstly

a lookup table-based encoding content management method was proposed. This method effectively organized the sparse encoding content within cache nodes. Secondly

a mathematical problem model for content recovery from failures was established

which was demonstrated that this problem belonged to the NP class. Finally

considering the complexity of problem-solving

a heuristic algorithm for recovery of failed nodes was presented to maintain the robustness of the MEC network. This algorithm initially seeked a feasible set of alternative cache nodes

and then proceeded to recover the failed content. Simulation results further validate the effectiveness and good performance of this algorithm in terms of recovery latency and energy consumption.

关键词

Keywords

references

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