Background:
Recently, Internet of Things (IoT) has brought various changes in the existing research field by
including new areas such as smart transportation, smart home facilities, smart healthcare, etc. In smart transportation
systems, vehicles contain different components to access information related to passengers, drivers, vehicle speed, and
many more. This information can be accessed by connecting vehicles with Internet of Things leading to new fields of
research known as Internet of Vehicles. The setup of Internet of Vehicle (IoV) consists of many sensors to establish a
connection with several other sensors belonging to different environments by exploiting different technologies. The
communication of the sensors faces a lot of challenging issues. Some of the critical challenges are to maintain security in
information exchanges among the vehicles, inequality in sensors, quality of internet connection, and storage capacity.
Objective:
To overcome the challenging issues, we have designed a new framework consisting of seven-layered
architecture, including the security layered, which provides seamless integration by communicating the devices present in
the IoV environment. Further, a network model consisting of four components such as Cloud, Fog, Connection, and
Clients has been designed. Finally, the protocol stack which describes the protocol used in each layer of the proposed
seven-layered IoV architecture has been shown.
Methods:
In this proposed architecture, the representation and the functionalities of each layer and types of security have
been defined. Case studies of this seven-layer IoV architecture have also been performed to illustrate the operation of each
layer in real-time. The details of the network model including all the elements inside each component, have also been
shown.
Results:
We have discussed some of the existing communication architecture and listed a few challenges and issues
occurring in present scenarios. Considering these issues, which is presently occurring in the existing communication
architecture. We have developed the seven-layered IoV architecture and the network model with four essential
components known as the cloud, fog, connection, and clients.
Conclusion:
This proposed architecture provides a secure IoV environment and provides life safety. Hence, safety and
security will help to reduce the cybercrimes occurring in the network and provides good coordination and communication
of the vehicles in the network.
A Survey on Machine Learning-Based Performance Improvement of Wireless Networks: PHY, MAC and Network Layer