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 |
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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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| _version_ | 1841530518722576384 |
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| author | Shanshan TU Jinliang YU Yuan MENG M WWAQAS Lei LIU |
| author_facet | Shanshan TU Jinliang YU Yuan MENG M WWAQAS Lei LIU |
| author_sort | Shanshan TU |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-59dce2f7aa5941d8af10e8322aa16d9e |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2019-07-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-59dce2f7aa5941d8af10e8322aa16d9e2025-01-15T03:02:36ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012019-07-0135606859588870Secure relay node selection method based on Q-learning for fog computing in 5G networkShanshan TUJinliang YUYuan MENGM WWAQASLei LIUA 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019176/Q-learningfog computing5G networksocial awarenessphysical layer security |
| spellingShingle | Shanshan TU Jinliang YU Yuan MENG M WWAQAS Lei LIU Secure relay node selection method based on Q-learning for fog computing in 5G network Dianxin kexue Q-learning fog computing 5G network social awareness physical layer security |
| title | Secure relay node selection method based on Q-learning for fog computing in 5G network |
| title_full | Secure relay node selection method based on Q-learning for fog computing in 5G network |
| title_fullStr | Secure relay node selection method based on Q-learning for fog computing in 5G network |
| title_full_unstemmed | Secure relay node selection method based on Q-learning for fog computing in 5G network |
| title_short | Secure relay node selection method based on Q-learning for fog computing in 5G network |
| title_sort | secure relay node selection method based on q learning for fog computing in 5g network |
| topic | Q-learning fog computing 5G network social awareness physical layer security |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019176/ |
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