{"title":"影响车辆通讯中断的交通模式","authors":"S. F. Hasan, Nazmul H. Siddique, S. Chakraborty","doi":"10.1109/NCC.2013.6488045","DOIUrl":null,"url":null,"abstract":"The objective of this paper is to investigate whether the vehicular traffic patterns affect the undesired ‘disruption’ in WLAN-based vehicular communication. Stochastic models are first developed to describe connectivity patterns in normal and dense traffic conditions. Hidden Markov model techniques are then used to measure the variation in estimated disruption with changing traffic conditions.","PeriodicalId":202526,"journal":{"name":"2013 National Conference on Communications (NCC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Traffic patterns affecting disruption in vehicular communication\",\"authors\":\"S. F. Hasan, Nazmul H. Siddique, S. Chakraborty\",\"doi\":\"10.1109/NCC.2013.6488045\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of this paper is to investigate whether the vehicular traffic patterns affect the undesired ‘disruption’ in WLAN-based vehicular communication. Stochastic models are first developed to describe connectivity patterns in normal and dense traffic conditions. Hidden Markov model techniques are then used to measure the variation in estimated disruption with changing traffic conditions.\",\"PeriodicalId\":202526,\"journal\":{\"name\":\"2013 National Conference on Communications (NCC)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 National Conference on Communications (NCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NCC.2013.6488045\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 National Conference on Communications (NCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCC.2013.6488045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Traffic patterns affecting disruption in vehicular communication
The objective of this paper is to investigate whether the vehicular traffic patterns affect the undesired ‘disruption’ in WLAN-based vehicular communication. Stochastic models are first developed to describe connectivity patterns in normal and dense traffic conditions. Hidden Markov model techniques are then used to measure the variation in estimated disruption with changing traffic conditions.