# Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing
## 1 Introduction
Due to the highly dynamic of the Internet of Vehicles, it is necessary to study the cooperative relationship between the Internet of Vehicles [13]. Studying the cooperative relationship between vehicles can make the architecture provide a better solution for offloading decision-making in vehicular fog computing, further increase the extension of VFC, and improve the performance of VFC. Vehicular fog computing is a potential application of fog computing in the transportation industry. Vehicular fog computing must not only achieve vehicle road collaboration, but also achieve five-dimensional high-level collaboration of \"people vehicle road network fog\". In terms of people, with MaaS (Mobility as a Service) as the core, we provide consumers with one-stop travel services and let consumers become free people [14]. In terms of vehicles, the future vehicles are not only data transmission and reception; Fang is still a computing node and a data sharing node. Smart vehicles will become smarter and smarter; in terms of roads, they will have all kinds of communication methods (LTE, 5G, LTE-V2X, 5G NR-V2X, etc.) Collection and release of roadside traffic information, with local edge computing capabilities, etc., create a smart road through integrated roadside intelligent facilities. In terms of network, C-V2X and DSRC are the two core communication technologies of the Internet of Vehicles [15]; namely mobile edge computing and network slicing will build a flexible network. In terms of fog, an integrated open data public service platform and cloud control platform will be constructed, and at the same time, powerful fog computing will be formed through the collaboration of fog nodes. This paper first introduces a collaborative and distributed computing architecture that uses vehicles as fog computing resource nodes. This architecture makes full use of the resources of fog nodes, including vehicles and RSU, and collaboration between vehicles, using vehicular collaboration to share computing resources and reduce the use of communication resources [15]. The vehicle-based infrastructure of vehicle-based fog computing has high-speed mobile characteristics [16]. Therefore, the stability of the network formed between vehicles needs further research. A cooperative and distributed computing architecture based on the vehicle as a fog computing resource node is introduced [17]. This architecture leverages the resources of the fog node and the collaboration between vehicles. Studying vehicle collaboration enables this architecture to make better offloading decisions [18] in fog computing, to better achieve vehicular fog computing performance. The main contributions of this paper are as follows:  
* A vehicular fog computing architecture that considers the sociality of the vehicle is proposed. This architecture makes full use of the idle resources of the vehicle. * The vehicle cooperation model in the bottom layer of vehicular fog computing architecture is proposed. The current fog computing architecture has a common problem, that is, a large part of the performance depends on the accuracy of predicting the behavior of the mobile fog node. This model solves the data problem, which is difficult to obtain data of the vehicle cooperation relationship, and provides reference for the research on the importance and trust relationship of the vehicle network. Most important, we provide a basis for vehicular fog computing aggregation resources and reallocation of resources. The rest of paper is organized as follows. After presenting the architecture of vehicular fog computing in Section 2, we describe the overview of vehicle cooperative model in vehicular fog computing in Section 3. Then we analyze the characteristics of cooperative vehicular network in Section 4. We conclude the paper in Section 5.