  The rapid growth of the automotive industry has exacerbated the conflict
between the complex traffic environment, increasing communication demands, and
limited resources. Given the imperative to mitigate traffic and network
congestion, analyzing the performance of Internet of Vehicles (IoV) mesh
networks is of great practical significance. Most studies focus solely on
individual performance metrics and influencing factors, and the adopted
simulation tools, such as OPNET, cannot achieve the dynamic link generation of
IoV mesh networks. To address these problems, a network performance analysis
model based on actual switches is proposed. First, a typical IoV mesh network
architecture is constructed and abstracted into a mathematical model that
describes how the link and topology changes over time. Then, the task
generation model and the task forwarding model based on actual switches are
proposed to obtain the real traffic distribution of the network. Finally, a
scientific network performance indicator system is constructed. Simulation
results demonstrate that, with rising task traffic and decreasing node caching
capacity, the packet loss rate increases, and the task arrival rate decreases
in the network. The proposed model can effectively evaluate the network
performance across various traffic states and provide valuable insights for
network construction and enhancement.
