Research And Implementation Of Data Transmission Monitoring System In VNDN Based On Location Prediction

Since entering the 21 st century,cars have gradually become the most important means of transportation in people’s daily life.With the development of this trend,people began to pay more attention to the service and experience of cars.However,the traditional TCP/IP network architecture has some problems in the Io V system,such as the link is susceptible to interference and the data transmission efficiency is low.In order to solve these problems,many researchers began to seek a new network architecture suitable for the Internet of Vehicles.Among them,Vehicular Named Data Networking(VNDN)has become a research hotspot in the current Internet of Vehicles network architecture.However,when VNDN needs to transmit a large amount of data,the content request may be too large,which may lead to problems such as increased network data transmission delay and reduced request satisfaction,directly affecting the transmission efficiency of the entire network and the service experience of Internet of Vehicles users.This thesis designs and implements a data transmission method in VNDN based on Location Prediction(DTVLP).First of all,this thesis proposes a Bayesian network-based location prediction model(Clustering-optimized Bayesian Network location prediction model,C-BN),which first applies clustering optimization to solve the problem of too wide and disordered data distribution,thereby improving Prediction accuracy;secondly,when the content of the vehicle request is large,the content is fragmented,and the fragmented content is respectively loaded into the data packet;thirdly,the future position of the vehicle obtained according to the application position prediction model is sent to the corresponding roadside unit Then,in order to improve the efficiency of VNDN data transmission,this thesis further proposes a Content Caching algorithm based on vehicle Location Prediction(CCLP)and a corresponding cache replacement algorithm(Collaborative Cache Replacement algorithm for Content Popularity and Grading,C2RCPG).Finally,this thesis uses the trajectory dataset and the news dataset for experimental verification.The experimental results show that the accuracy of the C-BN position prediction model is better than other comparison models;the transmission delay and request satisfaction rate of CCLP are also significantly better than other existing mobile content caching algorithms;therefore,it is proved that DTVLP can transmit large content requests.Effectively improve data transmission efficiency and reduce transmission delay.This thesis designs and implements a data transmission monitoring system in VNDN.The system is mainly aimed at data monitoring personnel in the vehicle networking background.After obtaining vehicle trajectories and data requests,the system will dynamically monitor the vehicle position and data transmission process,and real-time monitoring system requests frequent content(such as traffic congestion,traffic accidents,etc.),broadcasting the hot content to nearby vehicles.When implementing the system,the data transmission monitoring module uses the data transmission method(DTVLP)proposed in this article to transmit request data,and the position prediction module uses the position prediction model(C-BN)proposed in this article to achieve the prediction function.Finally,functional and non-functional tests were conducted on the data transmission monitoring system,proving that the system can achieve functions such as vehicle information management,trajectory query,position prediction,and data transmission monitoring.