# Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing
## 3 The Architecture of Vehicular Fog Computing
The vehicle cloud is not fixed. The members in the collection will change as the vehicle moves, so they can be regarded as mobile cloud nodes. The control center can designate some vehicles as candidate cloud controllers, or set up separate regional cloud controllers in combination to control the use of resources in the vehicle cloud and the entrance and exit of nodes. The fog service layer mainly provides services such as collaborative computing and resource sharing. It can also offload tasks through local communication networks, such as Wi-Fi, Bluetooth, D2D and 802.11p, and rely on the cooperation of surrounding vehicles to process large amounts of data [43], as well as share the computing, storage and other resources of the vehicular fog computing vehicle through the communication network. The sharing vehicle nodes are equivalent to a small data center. When other users request certain resources, they can use it locally, without having to visit a remote data center, thereby greatly reducing latency. Compared with the traditional architecture, the new architecture proposed in this paper brings many unique advantages to the in-vehicle network. The following points are emphasized here. Heterogeneous network integration: Through network virtualization and abstraction, all vehicles, roadside units, and roadside infrastructure in the car network can be treated as SDN equipment and managed, using a unified interface, which significantly improves the heterogeneity of VANTs [44]. Mobility: SDN technology can adaptively deploy routing protocols and adjust its parameters according to the rapidly changing external environment. The computational pressure of the cloud service layer can be shared to a certain extent through the deployment of the control plane. This will greatly improve the service quality of high-speed moving vehicles and is more suitable for mobile sensor networks compared to traditional network architectures. Multi-source data acquisition: With the expansion of scale, there are more and more types of information in the Internet of Vehicles, including traffic detection data, spectrum utilization and parking lot usage. These data need to be dynamically updated, and the collaborative fog service layer in the architecture of this article is very good to meet this characteristic, each core fog server collects the corresponding information through the connected infrastructure and processes it. After an application sends a request message, the cooperative fog server can control one or more core fog servers to respond, so it can greatly reduce the burden on the target server. Distributed computing and storage: In actual scenarios, the distribution of vehicles is usually random and, in most cases, uneven. When the vehicle density in a certain area is high, the computing and storage pressure of the core fog service equipment responsible for the area will increase sharply. In this architecture, by coordinating the control role of the fog server, the regional network pressure is shared to the core fog servers with less vehicle density in the surrounding area, so as to achieve a distributed working mode and improve network resource utilization. Multi-path data transmission: The communication of a large number of mobile devices in the Internet of Vehicles places a great burden on the cloud data center and the fog server. Many automotive multimedia have high requirements for data streams, often causing bandwidth congestion. This architecture provides the possibility to alleviate this situation. With the cooperation of the cloud control center and the coordination fog server, the data flow of the same application part can be arranged to be multiplexed, and then transmitted to the destination vehicle through the vehicle cloud V2V communication. It is actually a mode that rationally utilizes the idle bandwidth of other servers and can improve the quality of service. As can be seen from the above, the architecture of this article provides many new features for the Internet of Vehicles.