Abstract
The integration of different networks has attracted significant attention in academia. Both terrestrial and maritime communications systems have been attracting keen interest for ways to deal with various applications. As the environment of cognitive vehicular and maritime networks is extremely dynamic, these networks suffer with a long delay because of intermittent links while providing services for different applications. To this end, here we introduce the integration of cognitive vehicular and maritime networks to design a coastal smart city by utilizing software-defined networking, network function virtualization, and fog computing under the same infrastructure. This novel integrated cognitive coastal city fulfills the demand of each application user in a hybrid environment with a quicker response time. The idea is to combine vehicular and maritime communications to meet different user demands. Different virtual networks are launched by network function virtualization, and are managed and controlled by a software-defined networking controller. From the integration of software-defined networking, network function virtualization, and fog computing, both vehicular and marine users are provided with stable paths to meet each application’s demands.
Highlights
A coastal smart city is an up-and-coming architecture that allows for hybrid communications with a view to enable imaginative and innovative services for onboard users
As well as pure communications between the vehicular and maritime networks by using an integration of Software-defined networking (SDN), network function virtualization (NFV), and Fog computing (FC)
The local controllers (LCs) for the marine network moved at a speed of 10 m/s close to shore to keep it connected with the SDN controller
Summary
A coastal smart city is an up-and-coming architecture that allows for hybrid communications with a view to enable imaginative and innovative services for onboard users. We citizens are exposed to a plethora of mobile applications for vehicular and maritime networks. This increase in the number of smart devices has caused difficulty in maintaining stable networking and in meeting the increasing demands of different users. Centralized cloud computing has been used as a straightforward alternative to implementing complicated services; due to latency constraints in different networks, cloud computing is not a good remedy for these issues [1]. Because the nature of both vehicles and ships in these networks is extremely dynamic, another issue is establishing a stable route to provide diversified services for different network applications.
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