A Cloud–Shore–Ship Cooperative Information Network Construction Strategy for Inland Intelligent Shipping

The intelligent shipping of inland waterway ships involves a large amount of information exchange among ship-side, shore-side, traffic cloud center, and other traffic nodes. The massive data exchange imposes high requirements on system data processing and network transmission latency. By constructing the inland intelligent navigation system as a multi-layer collaborative information network involving ships, shores, and clouds, efficient interaction among the multiple information network is achieved. Therefore, this paper proposes a method for building a multi-layer collaborative network based on the composite properties of network nodes, realizing the construction of a complex network for inland vessel intelligent navigation involving ships, shores, and clouds. Compared to traditional random geometric methods, the proposed collaborative network construction method, which combines three characteristic parameters of node clustering coefficient, betweenness centrality, and closeness centrality, can more comprehensively describe the characteristics of network nodes, reflect node importance, and address the issue of incomplete node information description in existing multi-layer complex network models. Finally, typical complex network models and independent data set were utilized to validate the proposed method in this study, and practical network deployments were employed to test the feasibility and superiority of the proposed approach, it is demonstrated that the method of generating collaborative networks can significantly reduce the shortest path values between nodes in the network, decrease transmission time, enhance transmission efficiency, and effectively strengthen the information exchange capability of the system.