التفاصيل البيبلوغرافية
| العنوان: |
Reliability Modeling and Analysis of Ship Communication Network Based on Apriori Algorithm. |
| المؤلفون: |
Chao Xie, Peibei Shi, Fengyun Cao, Yanyu Qian |
| المصدر: |
Journal of Coastal Research; 3/9/2019, Vol. 93, p711-716, 6p |
| مصطلحات موضوعية: |
APRIORI algorithm, SHIP models, ROUTING algorithms, BIT error rate, FUZZY neural networks, TELECOMMUNICATION systems, NETWORK routing protocols, NETWORK analysis (Communication) |
| مستخلص: |
Ship communication network is prone to distortion due to crosstalk between ships. In order to improve the accuracy of data transmission and improve communication quality, a reliability modeling method of ship communication network based on Apriori algorithm is proposed. The transmission link model of ship communication network is constructed, and the fuzzy PID neural network control model is used to control the reliability of the link forwarding node of ship communication network, so as to realize the optimal deployment of the link forwarding node of ship communication network. Taking output forwarding delay, bit error rate and network throughput as constraint parameters, the reliability modeling objective function of ship communication network is constructed. The optimal parameters are optimized by Apriori learning algorithm, and the routing detection protocol of ship communication network is designed. Implementation of network routing optimization design. The simulation results show that the reliability of ship communication network is modeled by this method, the accurate probability of data transmission is improved, the bit error rate of communication network is low, and the quality of ship communication network is improved obviously. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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