A Design Method for Large-Scale Network Accessibility Model Based on Connectivity Base of Internet of Vehicles

Abstract

A Large-Scale Network Accessibility Model Based on the Connected Base of the Internet of Vehicles. Considering the node redundancy characteristics of the Internet of Vehicles network, a network topology of the Internet of Vehicles, that is, the connected base of the Internet of Vehicles is given, and the construction method of the connected base is given by using a heuristic algorithm. Starting from the internal structural properties and dynamic characteristics of the connected base, combined with the smooth Gauss-semi-Markov moving model, the connectivity and stability of the large-scale network of the Internet of Vehicles are proved, and a theoretical model of the accessibility of the Internet of Vehicles is given. This theoretical model can Accurately evaluate the network connectivity and stability in the highly dynamic environment of the Internet of Vehicles, provide theoretical support for the network layer, and provide real-time data guarantee for the application layer, so that the important information can be transmitted stably and persistently in the highly dynamic network environment of the Internet of Vehicles. Such as traffic accident information, real-time media data, etc., have important theoretical and practical application value.

Description

technical field [0001] The invention relates to the complex network field of the Internet of Vehicles. Background technique [0002] In recent years, domestic and foreign scholars' research on the network performance of the Internet of Vehicles has mainly focused on a specific scenario or the research on network connectivity based on certain assumptions. The existing research on the connectivity of the Internet of Vehicles mainly focuses on two aspects: (1 ) end-to-end connectivity; (2) overall network connectivity. [0003] Current research on end-to-segment connectivity mainly studies the connectivity probability between two nodes in a dynamic network environment. This kind of research is generally aimed at a certain road section in a highway or an urban scene, and models it as a 1-D network space, and then analyzes the relationship between nodes according to a certain node distribution model such as random distribution, average distribution, or Poisson distribution. Con...

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Problems solved by technology

The end-to-end connectivity research mainly considers the use of node distribution model to analyze the relationship between the connectivity probability between two nodes in a small-scale network environment, vehicle density and communication radius, and does not study the network connectivity performance from the perspective of the overall network

However, the research on the overall connectivity of the network is generally based on the percolation theory to analyze the static connectivity of the network as the vehicle density changes, without considering the mobility of nodes, and it is impossible to give a real-time measure of network connectivity.

Therefore, the research work on the network performance of the Internet of Vehicles has not been studied in depth, and it is impossible to accurately measure the performance of large-scale networks in real time.

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