Xie, C.; Shi, P.; Cao, F., and Qian, Y., 2019. Reliability modeling and analysis of ship communication network based on apriori algorithm. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 711–716. Coconut Creek (Florida), ISSN 0749-0208.

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.