{"title":"Analysis of Cooperative Awareness Message rates in VANETs","authors":"J. Breu, A. Brakemeier, M. Menth","doi":"10.1109/ITST.2013.6685513","DOIUrl":null,"url":null,"abstract":"To support applications for environment perception in Vehicular Ad-Hoc Networks (VANETs), vehicles send Cooperative Awareness Messages (CAMs) via wireless broadcast to inform other vehicles about their status. Each message received by a vehicle is processed by several application modules that run on hardware with limited resources whose capacity is not yet defined. Therefore, the received rate of CAMs is a crucial input for the development of series VANET products. In this paper, we quantify the received rate of CAMs and show that it can be high even for a low fraction of vehicles generating CAMs. We simulate road traffic in typical highway scenarios and estimate sent CAM rates. We introduce the notion of relative channel load and present a new approximative channel model to determine a vehicle's message reception probability. We use that model to simulate a vehicle's received CAM rates and propose a simple approximation formula.","PeriodicalId":117087,"journal":{"name":"2013 13th International Conference on ITS Telecommunications (ITST)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 13th International Conference on ITS Telecommunications (ITST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITST.2013.6685513","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23
Abstract
To support applications for environment perception in Vehicular Ad-Hoc Networks (VANETs), vehicles send Cooperative Awareness Messages (CAMs) via wireless broadcast to inform other vehicles about their status. Each message received by a vehicle is processed by several application modules that run on hardware with limited resources whose capacity is not yet defined. Therefore, the received rate of CAMs is a crucial input for the development of series VANET products. In this paper, we quantify the received rate of CAMs and show that it can be high even for a low fraction of vehicles generating CAMs. We simulate road traffic in typical highway scenarios and estimate sent CAM rates. We introduce the notion of relative channel load and present a new approximative channel model to determine a vehicle's message reception probability. We use that model to simulate a vehicle's received CAM rates and propose a simple approximation formula.