A Hybrid Vehicle-to-Vehicle Transmission Model for Vehicular Networks

With the development of 5G technology, the Internet of Things has become more mature, and the communication technology between vehicles has gradually developed. Vehicular ad-hoc network (VANET) is a mobile communication technology that takes moving vehicles and transportation facilities as nodes and uses wireless communication technology to form a mobile network. Vehicle-to-Vehicle communication (V2V communication) refers to the communication between vehicles in VANET, excluding fixed roadside facilities. There are a variety of algorithms for V2V, which can be roughly divided into two categories: topology-based routing and geographic position-based routing. This article is mainly applied to the Greedy Perimeter Stateless Routing for Wireless Networks (GPSR) algorithm that belongs to geographic position-based routing protocols. In the GPSR algorithm, the car detects the position of itself and other neighboring cars for information exchange. This paper proposes a V2V hybrid model based on GPRS. In this model, different strategies are innovatively adopted in the forward and backward directions. The GPSR algorithm is used in the forward direction, and the V2V-RA algorithm is used in the backward direction. Then the dual range mode is proposed. Dual range mode uses two distances for car detection and transmission in the forward GPSR algorithm for better path decision and transmission efficiency. The article uses Matlab to compare the performance of this hybrid model in single range mode and new dual range mode under different circumstances, and verifies its improvement in transmission delay and stability.