# Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing
## 3 The Architecture of Vehicular Fog Computing
It can also provide users with comprehensive and high-quality services through the deployment of the control center. It is mainly composed of a data center. It uses software-defined networking technology, network virtualization technology and server virtualization technology, to form  
Figure 1: The architecture of vehicular fog computing. the data center and integrate computing, storage and other important resources into a \"resource pool\" to achieve unified management and provide cloud computing services. In this architecture, the cloud can be viewed as a computing entity that improves overall network performance. It is mainly used to improve the quality and computing power of connected car services. It is responsible for handling applications with insensitive delays and large resource requirements. Because data need to be transmitted frequently when in use, it has the characteristics of high latency and high cost. Therefore, this design mainly uses a fog cluster layer and a cloud service layer. Tasks are uploaded to the cloud service layer through the fog cluster layer only when they require a lot of resources and latency is not sensitive. The fog cluster layer in the vehicular fog computing architecture is mainly composed of two parts, namely fog service equipment and infrastructure. The fog service equipment part is mainly composed of core fog equipment, coordinated fog server, and candidate fog server. The other part of the infrastructure mainly includes roadside node units, communication base stations, cameras, etc. With the advancement of sensor technology, various sensors for road conditions and real-time environmental monitoring have also been applied to the Internet of Vehicles. It extends computing, storage and communication resources to the edge of the network through fog servers deployed on roadside units. Vehicles in the fog service layer access the cloud service layer through roadside units or base stations. The fog cluster layer can respond to and process user requests directly, instead of forwarding all received requests to the cloud service layer. This can offload most business traffic to the widely deployed fog cluster layer, greatly reducing communication resources and processing time. Distributed fog clusters are distributed in various geographical areas and connected to cloud services. The fog cluster layer can be configured with appropriate amounts of computing, storage, and communication resources, and cooperate with each other to handle relatively large tasks. Distributed fog clusters have the following advantages: (1) They can offload most of the data processing to the fog cluster, reducing the link traffic; (2) the fog clusters are connected through a cooperative local controller, which can realize data sharing and mutual assistance; (3) users can obtain corresponding services from nearby fog clusters, which greatly reduces delay and improves service quality; and (4) the fog cluster preprocesses the data uploaded by the fog service layer, which greatly reduces the data volume and relieves the network data load. In order to further improve the performance and resource sharing of on-board fog computing, a self-organized fog service layer is innovatively proposed. This fog service layer serves users by concentrating idle resources of surrounding vehicles, eliminating the boundary between the terminals and cloud computing services. This is the most flexible and innovative organization, which makes vehicles both providers of \"cloud\" services and consumers of \"cloud\" services. The fog service layer is mainly composed of vehicle cloud and users' mobile phones, computers and other equipment. Vehicle cloud refers to applying the concept of cloud to the traditional Internet of Vehicles. According to a certain principle (within a certain radius, a certain block, etc. ), the vehicle group is divided into different sets. Forming a network with vehicle communication and sharing computing resources, storage resources, and spectrum resources are conducive to improving efficiency.