{"title":"V2X流量分流中基于路由预测的内容分发方法","authors":"Shunsuke Otsuki, H. Miwa","doi":"10.1109/INCoS.2015.34","DOIUrl":null,"url":null,"abstract":"Currently, there are ongoing research and development efforts directed to data offloading. Data offloading allows load distribution by suitably allocating data communication traffic to other systems, such as wireless LANs or vehicle-to-vehicle communication systems. Especially, there is also ongoing research into traffic offloading using vehicle-to-vehicle communication. In traffic offloading using vehicle-to-vehicle communication, generally, while effectively utilizing mobile phone communication (V2I communication), vehicle-to-vehicle communication (V2V communication), in which content is shared among neighboring vehicles, is additionally used. In V2V communication, since the amount of data that can be transmitted at one time is not so large, and the opportunities for exchanging content are limited due to movement of vehicles, it is not easy to efficiently share relevant content within a certain period of time. Accordingly, we have designed an efficient content-delivery controlling algorithm for use in a situation where vehicles generate content in real time. The algorithm utilizes route prediction information in order to efficiently share content among the vehicles by way of V2X communication (i.e., V2I communication and V2V communication used in combination). This paper proposes the algorithm and reports its effectiveness demonstrated through simulated performance evaluation.","PeriodicalId":345650,"journal":{"name":"2015 International Conference on Intelligent Networking and Collaborative Systems","volume":"219 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Contents Delivery Method Using Route Prediction in Traffic Offloading by V2X\",\"authors\":\"Shunsuke Otsuki, H. Miwa\",\"doi\":\"10.1109/INCoS.2015.34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Currently, there are ongoing research and development efforts directed to data offloading. Data offloading allows load distribution by suitably allocating data communication traffic to other systems, such as wireless LANs or vehicle-to-vehicle communication systems. Especially, there is also ongoing research into traffic offloading using vehicle-to-vehicle communication. In traffic offloading using vehicle-to-vehicle communication, generally, while effectively utilizing mobile phone communication (V2I communication), vehicle-to-vehicle communication (V2V communication), in which content is shared among neighboring vehicles, is additionally used. In V2V communication, since the amount of data that can be transmitted at one time is not so large, and the opportunities for exchanging content are limited due to movement of vehicles, it is not easy to efficiently share relevant content within a certain period of time. Accordingly, we have designed an efficient content-delivery controlling algorithm for use in a situation where vehicles generate content in real time. The algorithm utilizes route prediction information in order to efficiently share content among the vehicles by way of V2X communication (i.e., V2I communication and V2V communication used in combination). This paper proposes the algorithm and reports its effectiveness demonstrated through simulated performance evaluation.\",\"PeriodicalId\":345650,\"journal\":{\"name\":\"2015 International Conference on Intelligent Networking and Collaborative Systems\",\"volume\":\"219 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Intelligent Networking and Collaborative Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INCoS.2015.34\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Intelligent Networking and Collaborative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCoS.2015.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Contents Delivery Method Using Route Prediction in Traffic Offloading by V2X
Currently, there are ongoing research and development efforts directed to data offloading. Data offloading allows load distribution by suitably allocating data communication traffic to other systems, such as wireless LANs or vehicle-to-vehicle communication systems. Especially, there is also ongoing research into traffic offloading using vehicle-to-vehicle communication. In traffic offloading using vehicle-to-vehicle communication, generally, while effectively utilizing mobile phone communication (V2I communication), vehicle-to-vehicle communication (V2V communication), in which content is shared among neighboring vehicles, is additionally used. In V2V communication, since the amount of data that can be transmitted at one time is not so large, and the opportunities for exchanging content are limited due to movement of vehicles, it is not easy to efficiently share relevant content within a certain period of time. Accordingly, we have designed an efficient content-delivery controlling algorithm for use in a situation where vehicles generate content in real time. The algorithm utilizes route prediction information in order to efficiently share content among the vehicles by way of V2X communication (i.e., V2I communication and V2V communication used in combination). This paper proposes the algorithm and reports its effectiveness demonstrated through simulated performance evaluation.