Secure relay node selection method based on Q-learning for fog computing in 5G network
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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2019-07-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019176/ |
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| Summary: | 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. |
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| ISSN: | 1000-0801 |