{"title":"VANET集体感知控制传感器数据传播方法","authors":"Kaito Furukawa, M. Takai, S. Ishihara","doi":"10.1109/PERCOMW.2019.8730601","DOIUrl":null,"url":null,"abstract":"Vehicles can expand its own perceptual range about road traffic by collective perception technique for sharing sensor data about objects in vicinity among the neighbors by using Vehicle-to-Vehicle communication. In high vehicle density, however, packet collisions and the hidden terminal problem make it difficult to deliver messages containing the sensor data. To ensure delivering the useful sensor data for avoiding collision accidents, we proposed the strategy of a method to control the transmission frequency of sensor data based on the positional relationship of vehicles and the road structure in order to improve the surrounding awareness of vehicles in previous our work. In this paper, based on the strategy, we propose the detail of the strategy, the scheme for automatically select vehicles with a high probability to broadcast sensor data, method and evaluate the effectiveness of the method through simulations compared with a related work. This method is effective for avoiding collision accidents because vehicles can perceive the presence of other vehicles while reducing radio traffic.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Controlling Sensor Data Dissemination Method for Collective Perception in VANET\",\"authors\":\"Kaito Furukawa, M. Takai, S. Ishihara\",\"doi\":\"10.1109/PERCOMW.2019.8730601\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Vehicles can expand its own perceptual range about road traffic by collective perception technique for sharing sensor data about objects in vicinity among the neighbors by using Vehicle-to-Vehicle communication. In high vehicle density, however, packet collisions and the hidden terminal problem make it difficult to deliver messages containing the sensor data. To ensure delivering the useful sensor data for avoiding collision accidents, we proposed the strategy of a method to control the transmission frequency of sensor data based on the positional relationship of vehicles and the road structure in order to improve the surrounding awareness of vehicles in previous our work. In this paper, based on the strategy, we propose the detail of the strategy, the scheme for automatically select vehicles with a high probability to broadcast sensor data, method and evaluate the effectiveness of the method through simulations compared with a related work. This method is effective for avoiding collision accidents because vehicles can perceive the presence of other vehicles while reducing radio traffic.\",\"PeriodicalId\":437017,\"journal\":{\"name\":\"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PERCOMW.2019.8730601\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2019.8730601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Controlling Sensor Data Dissemination Method for Collective Perception in VANET
Vehicles can expand its own perceptual range about road traffic by collective perception technique for sharing sensor data about objects in vicinity among the neighbors by using Vehicle-to-Vehicle communication. In high vehicle density, however, packet collisions and the hidden terminal problem make it difficult to deliver messages containing the sensor data. To ensure delivering the useful sensor data for avoiding collision accidents, we proposed the strategy of a method to control the transmission frequency of sensor data based on the positional relationship of vehicles and the road structure in order to improve the surrounding awareness of vehicles in previous our work. In this paper, based on the strategy, we propose the detail of the strategy, the scheme for automatically select vehicles with a high probability to broadcast sensor data, method and evaluate the effectiveness of the method through simulations compared with a related work. This method is effective for avoiding collision accidents because vehicles can perceive the presence of other vehicles while reducing radio traffic.