Research on network K-terminal reliability modeling based on fault tree and Bayesian model

Ruiyan Cai; Yanhong Liu; Debin Wei

doi:10.1117/12.2648940

27 September 2022 Research on network K-terminal reliability modeling based on fault tree and Bayesian model

Ruiyan Cai, Yanhong Liu, Debin Wei

Proceedings Volume 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022); 123451D (2022) https://doi.org/10.1117/12.2648940
Event: 2022 International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 2022, Qingdao, China

Abstract

In view of the complex and polymorphic structure of satellite networks, this paper proposes a K-Terminal communication reliability modeling method of satellite networks based on fault tree and Bayesian. Firstly, the fault tree is established according to the available path information that meets the QoS constraints, and then the corresponding relationship between the fault tree and Bayesian network is summarized. Finally, it is expressed with the help of Bayesian network. Combined with the conditional probability table, the two-way evaluation of satellite network is carried out by using Bayesian theorem, and the k-end path reliability of satellite link in different states is obtained. The results show that the model can not only improve the problem of multi-state network modeling, but also reduce the complexity of previous modeling.

Citation Download Citation

Ruiyan Cai, Yanhong Liu, and Debin Wei "Research on network K-terminal reliability modeling based on fault tree and Bayesian model", Proc. SPIE 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 123451D (27 September 2022); https://doi.org/10.1117/12.2648940

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