Secure relay node selection method based on Q-learning for fog computing in 5G network

Shanshan TU; Jinliang YU; Yuan MENG; M WWAQAS; Lei LIU

doi:10.11959/j.issn.1000-0801.2019176

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Secure relay node selection method based on Q-learning for fog computing in 5G network

Topic:5g | 更新时间：2024-06-05

- Secure relay node selection method based on Q-learning for fog computing in 5G network
- Telecommunications Science Vol. 35, Issue 7, Pages: 60-68(2019)
- 作者机构：
  
  1. 北京工业大学信息学部，北京100124
  2. 可信计算北京市重点实验室，北京100124
  3. 清华大学电子工程系，北京 100084
  4. 北京机电工程研究所，北京 100074
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2019176
  CLC： TP393
- Published Online：2019-07，
  
  Published：20 July 2019
- 稿件说明：
移动端阅览
Shanshan TU, Jinliang YU, Yuan MENG, et al. Secure relay node selection method based on Q-learning for fog computing in 5G network[J]. Telecommunications science, 2019, 35(7): 60-68.
DOI：

Shanshan TU, Jinliang YU, Yuan MENG, et al. Secure relay node selection method based on Q-learning for fog computing in 5G network[J]. Telecommunications science, 2019, 35(7): 60-68. DOI： 10.11959/j.issn.1000-0801.2019176.

摘要

提出了一种基于 Q-learning 的最优双中继节点选择方法。首先构建了基于社会意识的安全雾计算结构模型，然后在该模型下设计了基于 Q-learning 算法的最优双中继节点选择方法，实现了在动态环境下对最优双中继节点的选择，最后对密钥生成速率、双中继节点选择速度和动态环境中双中继节点的选择准确率进行了分析。实验结果表明，该方案能有效地在动态环境中选择最优双中继节点，算法迅速收敛达到稳定，最优中继节点选择速度得到有效提升。

Abstract

A Q-learning-based optimal dual-relay node selection method was proposed. Firstly

a security fog computing structure model based on social awareness was constructed

and then an optimal dual-relay node selection method based on Q-learning algorithm was designed under this model

which achieved the selection of optimal dual-relay nodes in dynamic environment. Finally

the key generation rate

the selection speed of dual-relay nodes and the selection accuracy of dual-relay nodes in dynamic environment were analyzed. The experimental results show that the scheme can effectively select the optimal dual-relay nodes in dynamic environment

the algorithm converges rapidly to a stable level

and the selection speed of the optimal relay node is effectively improved.

关键词

Keywords

references

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