{"title":"C-V2X网络车辆协同缓存的最大响应机制","authors":"Zhiwei Qiu, Tianwu Lin, Zhexin Xu, Min Xiao","doi":"10.1109/ESCI53509.2022.9758199","DOIUrl":null,"url":null,"abstract":"In the existing urban traffic scenarios, in order to realize the high request response rate and low response delay of V2V communication in the highly dynamic vehicle topology and reduce the response burden of vehicles, the influencing factors of request response rate in vehicle communication are studied, and the influence laws of vehicle file cache capacity, response times and traffic density on request response rate are summarized. We proposed the maximum response mechanism in vehicle Cooperative Cache in C-V2X network, and designed the maximum response algorithm (MRA). Firstly, the base station integrates and allocates the requests and responses of vehicles, sorts them according to the number of requests, and constructs a total request table. Vehicles respond according to the total request table. The whole process is coordinated by the base station and vehicle nodes. In comparison with other response algorithms, the MRA can achieve higher request response rate when the file cache capacity and response times of the vehicle are less and the traffic density is sparse, and the response burden of the vehicle is the smallest.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"18 9","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Maximum Response Mechanism in Vehicular Cooperative Caching for C-V2X Networks\",\"authors\":\"Zhiwei Qiu, Tianwu Lin, Zhexin Xu, Min Xiao\",\"doi\":\"10.1109/ESCI53509.2022.9758199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the existing urban traffic scenarios, in order to realize the high request response rate and low response delay of V2V communication in the highly dynamic vehicle topology and reduce the response burden of vehicles, the influencing factors of request response rate in vehicle communication are studied, and the influence laws of vehicle file cache capacity, response times and traffic density on request response rate are summarized. We proposed the maximum response mechanism in vehicle Cooperative Cache in C-V2X network, and designed the maximum response algorithm (MRA). Firstly, the base station integrates and allocates the requests and responses of vehicles, sorts them according to the number of requests, and constructs a total request table. Vehicles respond according to the total request table. The whole process is coordinated by the base station and vehicle nodes. In comparison with other response algorithms, the MRA can achieve higher request response rate when the file cache capacity and response times of the vehicle are less and the traffic density is sparse, and the response burden of the vehicle is the smallest.\",\"PeriodicalId\":436539,\"journal\":{\"name\":\"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)\",\"volume\":\"18 9\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ESCI53509.2022.9758199\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESCI53509.2022.9758199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Maximum Response Mechanism in Vehicular Cooperative Caching for C-V2X Networks
In the existing urban traffic scenarios, in order to realize the high request response rate and low response delay of V2V communication in the highly dynamic vehicle topology and reduce the response burden of vehicles, the influencing factors of request response rate in vehicle communication are studied, and the influence laws of vehicle file cache capacity, response times and traffic density on request response rate are summarized. We proposed the maximum response mechanism in vehicle Cooperative Cache in C-V2X network, and designed the maximum response algorithm (MRA). Firstly, the base station integrates and allocates the requests and responses of vehicles, sorts them according to the number of requests, and constructs a total request table. Vehicles respond according to the total request table. The whole process is coordinated by the base station and vehicle nodes. In comparison with other response algorithms, the MRA can achieve higher request response rate when the file cache capacity and response times of the vehicle are less and the traffic density is sparse, and the response burden of the vehicle is the smallest.