Design of a Reliable Transmission Mechanism for Vehicle Data in Mobile Internet of Vehicles Driven by Edge Computing

In order to meet the business requirements of different applications in heterogeneous, random, and time-varying mobile network environments, the design of a reliable transmission mechanism is the core problem of the mobile Internet of vehicles. The current research is mainly based on the computing power support of roadside units, and large delays and high costs are significant defects that are difficult to overcome. In order to overcome this deficiency, this paper integrates edge computing to design task unloading and routing protocol for the reliable transmission mechanism of mobile Internet of vehicles. Firstly, combined with edge computing technology, a mobile-aware edge task unloading mechanism in a vehicle environment is designed to improve resource utilization efficiency and strengthen network edge computing capacity so as to provide computing support for upper service applications; Secondly, with the support of computing power of edge task unloading mechanism, connectivity aware and delay oriented edge node routing protocol in-vehicle environment is constructed to realize reliable communication between vehicles. The main characteristics of this research are as follows: firstly, edge computing technology is introduced to provide distributed computing power, and reliable transmission routing is designed based on vehicle-to-vehicle network topology, which has prominent cost advantages and application value. Secondly, the reliability of transmission is improved through a variety of innovative technical designs, including taking the two hop range nodes as the service set search to reduce the amount of system calculation, fully considering the link connectivity state, and comprehensively using real-time and historical link data to establish the backbone link. This paper constructs measurement indicators based on delay and mobility as key elements of the computing offloading mechanism. The offloading decision is made through weighted calculation of delay estimation and computing cost, and a reasonable computing model is designed. The experimental simulation shows that the average task execution time under this model is 65.4% shorter than that of local computing, 18.4% shorter than that of cloud computing, and the routing coverage is about 6% higher than that of local computing when there are less than 60 nodes. These research and experimental results fully demonstrate that the mobile Internet of vehicles based on edge computing has good reliable transmission characteristics.