| Autor: |
Shanshan TU, Jinliang YU, Yuan MENG, M WWAQAS, Lei LIU |
| Jazyk: |
čínština |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Dianxin kexue, Vol 35, Pp 60-68 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
1000-0801 |
| DOI: |
10.11959/j.issn.1000-0801.2019176 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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