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Research On Wireless Network Performance Based On Vehicle Speed In Internet Of Vehicles

Posted on:2024-07-02Degree:MasterType:Thesis
Country:ChinaCandidate:C Q DiFull Text:PDF
GTID:2542307157473174Subject:Traffic and Transportation Engineering
Abstract/Summary:PDF Full Text Request
In recent years,with the continuous development of wireless network technology,the ubiquitous application of Internet of vehicles as wireless communication has brought new solutions to urban traffic problems.Through Internet of Vehicles technology,on-board equipment can obtain real-time traffic conditions and other data information,making vehicle travel convenient and efficient,and improving the travel comfort of Internet of vehicles users.However,due to the fast speed of vehicles,transient network topology structure is caused,and there are some problems such as short latency of vehicles in the coverage area of the base station.Therefore,in the Internet of vehicles,it is very necessary to analyze the changes brought by speed to the service quality of wireless network and find out the mapping relationship between vehicle speed and the service provided by wireless network.When vehicles travel in the coverage area of heterogeneous wireless networks,frequent and inefficient network switching will occur because they pass through different types of wireless networks with different coverage ranges.Aiming at this situation,a combined selection strategy based on attractor income prediction in heterogeneous vehicle networking scenario is proposed.By analyzing the correlation between wireless network transmission rate and vehicle position,the location of attractor update is found to reduce the transmission loss caused by network switching delay.Considering the vehicle speed and the access time of the base station,the transmission amount that the network of the Internet of vehicles can provide is calculated,the attractor is updated and the network selection is made according to the attractor state.Considering the limitation of the number of adjacent users on the transmission rate of Internet of vehicles users,the transmission volume that can be obtained by Internet of Vehicles users is analyzed.By considering the influence of speed on the transmission volume of Internet of vehicles users in a single base station,the closed solution of the transmission volume is solved.The limitation of vehicle speed on the number of adjacent users is analyzed,and the further influence of speed on the transmission volume is obtained.Finally,the vehicle transmission volume is calculated comprehensively,and the result of network selection is made.Finally,the service quality of optical communication technology at different speeds is analyzed.By analyzing the variation of signal-to-noise ratio in V2V(Vehicle-to-Vehicle)and V2I(Vehicleto-Infrastructure)scenarios,the influence of speed variation on the service quality of optical communication technology is considered.Based on vehicle distribution and vehicle speed,the influence of vehicle speed on optical communication network service quality is analyzed.The experimental results show that the wireless network service quality can be improved by analyzing the wireless network service quality under different speeds.Due to the different vehicle speeds,Internet of vehicles users will get different network selection results under the same base station.The difference of speed will also affect the number of adjacent users,and higher speed may obtain better service quality.Based on the analysis of Visible Light Communications technology and V2 I and V2 V scenarios,it is concluded that better services can be obtained in scenarios with low speed.Therefore,the vehicle driving at a lower speed will obtain a good service quality of the base station.If the number of adjacent users is taken into account,the vehicle driving speed will affect the change of the number of adjacent users,and indirectly affect the benefits of users getting off the vehicle at different speeds.
Keywords/Search Tags:Intelligent transportation, internet of Vehicles, heterogeneous network, running speed, transmission capacity, signal-to-noise ratio
PDF Full Text Request
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