# Towards Strengthening the Resilience of IoV Networks--A Trust Management Perspective
## 2 From Vehicular Ad Hoc Networks to Internet of Vehicles
### Internet of Vehicle (IoV)
#### 2.2.2 Key Technologies of IoV  
To realize the stable and efficient operation of IOV, many key technologies are needed:  
* _Sensor technology and sensor information integration_--Sensor technology is mainly used to sense vehicle and road information, and it is mainly integrated in the OBU of vehicles. The sensor network of vehicles can be divided into in-vehicle sensor networks and out-of-vehicle sensor networks. The sensor network in vehicles is mainly used to provide information about the vehicle's status. This condition information is needed for remote diagnosis, for example, to analyze and judge the current state of the vehicle. Out-of-vehicle sensor networks are mainly used to sense the external environment of vehicles, such as cameras and anti-collision sensors. Such information can be used to assist driving, and it can also be used to improve driving safety. The road sensor network consists of sensors laid on roads and roadsides. Such sensors are used to sense road condition information and transmit it to vehicles, such as vehicle speed and direction, traffic density, intersection congestion, etc., so that the vehicle-mounted system can obtain road and traffic environment information. * _An intelligent and open vehicle terminal system platform_--Based on a terminal system platform that is not sufficiently intelligent and open, it is difficult to build a network ecosystem. In this respect, we can see the importance of this point in the field of smartphones. At present, Google Android will become the mainstream operating system for IoV terminal systems. Being born for network applications, it is designed for touch operation, with rich applications, personalized customization, good user experience, and a huge increase in the number of applications, forming a mature network ecosystem. * _Speech recognition technology_--This technology is very mature, which allows drivers to send commands to IoV through their mouths and receive services provided by IoV through their ears. This is most suitable for application in the fast-moving space of vehicles. The \"cloud recognition\" technology based on server-side technology must be used to solve the storage and computing capacity of vehicles, so as to adapt to the non-fixed command mode of speech recognition technology. * _Server-side computing and service integration technology_--IoV uses cloud computing to plan the driving path of a large number of vehicles, analyze real-time road conditions, diagnose vehicles, and dispatch traffic congestion. IoV implements service innovation and provides value-added services through service integration. \begin{table}
\begin{tabular}{p{142.3 pt} p{284.5 pt}} \hline \hline
**Layer** & **Function** \\ \hline End & The end system is mainly used to collect and obtain relevant information about the vehicle, and it can sense the current driving state of the vehicle and the surrounding environment, which represents the intelligent sensing system of the vehicle. Moreover, it is also a ubiquitous communication terminal, just like V2X communication. Meanwhile, it is also a device that can identify the network credibly and enable the vehicle to have an addressing sum. \\ \hline Management & This layer is used to solve the interconnection between V2X, realize the communication between vehicles and various heterogeneous networks, and ensure the serviceability, real-time performance and network universality from the aspects of function and performance. In the meantime, it unifies the private network and the public network. \\ \hline Cloud & IoV is a cloud-based information platform, including ITS, logistics, mobile Internet, auto repair and auto parts, vehicle management, vehicle rental, insurance, vehicle management of enterprises and institutions, automobile manufacturers, emergency rescue, etc. The aggregation of multi-source mass information requires cloud computing functions such as mass storage, security authentication, virtualization and real-time interaction. \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Architecture of IoV.