Car-Networking Node Selecting Method based on BS-TS and Autoencoder Network, and Accessibility Routing Mechanism Thereof

Abstract

A car-networking node selecting method based on BS-TS and autoencoder network, and an accessibility routing mechanism thereof belong to the technical field of car networking. According to a problem of irregular distribution of sparse and dense networks in urban roads caused by time and space distribution differences of car-networking nodes, an appropriate node selecting method is provided for different time points and different road sections. Combined with the problems such as low interconnection coupling degree present in car-networking large-scale heterogeneous network, an accessibility routing mechanism suitable for urban roads is designed. By studying a block dividing method of a large-scale car-networking road network diagram, the method in the present invention divides the large-scale car networking into serval small-scale networks, comprehensively considers road sections having similar network density distribution according to an intra-network node number variation trend similarity algorithm and reduces complexity for processing. The routing mechanism does not only have higher success rate for data packet transmission, but also has better stability.

Description

technical field [0001] The invention relates to the field of the Internet of Vehicles, in particular to a network node screening method of the Internet of Vehicles based on BS-TS and an autoencoder network and its accessibility routing mechanism. Background technique [0002] The road traffic conditions in urban scenes are complex. When the main road is in the rush hour for commuting, or when a traffic accident occurs, vehicles will gather in a short period of time, that is, traffic congestion will occur. At this time, due to the dense network nodes, when multiple users transmit information through the Internet of Vehicles, such as real-time messages, online videos, and multiplayer games, the amount of data is particularly large. If the destination node is found through traditional broadcast messages, it will cause a broadcast storm. , and even lead to the paralysis of the entire Internet of Vehicles. However, in some remote roads in urban scenes, there are few vehicle node...

AI Technical Summary

Problems solved by technology

[0004] The existing connectivity technologies for the Internet of Vehicles mainly use simulation and analysis methods, and the target object is only for the Vehicle Ad-hoc NETwork (VANET), without considering the large-scale heterogeneous network of the Internet of Vehicles. The effective integration between large-scale heterogeneous network elements brought about by factors such as the highly time-varying channel of the networked large-scale heterogeneous network, the prominent Doppler effect, and the uncertainty of the network topology makes the large-scale network of the Internet of Vehicles The real-time nature of interconnection and intercommunication has great limitations, which will bring about serious shortages in efficiency and performance, fundamentally restrict the exchange of large-scale information in the Internet of Vehicles, and make it difficult to support traffic congestion, traffic safety, and fog in large-area environments. Application requirements for real-time data collection such as haze control

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