Multi-attribute selection of maritime heterogenous networks based on SDN and fog computing architecture

Maritime intelligent transportation system provides intelligent, safe and efficient maritime transport services, which greatly facilitates the applications related to monitoring, safety, infotainment and cargo online management. The Internet of Things (IoT) is especially suitable for the networked communication environment at sea, and drives the development of maritime intelligent transportation on the trend. However, the existing data processing and forwarding methods pose great challenges to Intelligent Transportation Systems (ITS). In particular, realtime multi-type of data adopts different access technologies in wireless communication systems or use the same wireless access technology but belong to different wireless carriers. Utilizing the existing multi-type wireless communication systems, the architecture of the heterogeneous network through inter-system convergence makes multi-system complement to meet the demand of mobile communication services, so as to comprehensively play their respective advantages. In this paper, we consider a multiattribute decision-making method based on Analytic Hierarchy Process (AHP) and Rough Set based on the architecture of maritime wideband communication system with software defined network (SDN) and fog computing architecture. This paper aims to select a feasible network routing scheme for this heterogeneous network, based on multi-attribute of different networks. Finally, we simulate a communication network selection case based on the future maritime communications architecture, and solve the architecture optimization problem through our proposed algorithm. The issue of such network choice necessarily exists in maritime communications architecture, and our tentative assumptions and solutions will be an important basis for such issues.