{"title":"SWeRC: Self-Weighted Semi-Cooperative DSRC Congestion Control Based on LIMERIC","authors":"Torsten Lorenzen","doi":"10.1109/VTCFall.2017.8288268","DOIUrl":null,"url":null,"abstract":"Densities in Vehicular Ad-Hoc Networks (VANETs) are highly dynamic and the amount of information shared can easily exceed the limited resource capacity. LIMERIC, a state-of-the-art congestion control mechanism, is designed to reduce the network load by adjusting the message rate based on the current resource utilization. However, due to its fixed convergence parameters, it suffers from scalability and fails to provide stability under high densities. In this paper, I introduce Self-Weighted Rate Control (SWeRC) which achieves a scalability- independent, efficient, and fair resource allocation. I analyze the effect of the convergence parameters and subsequently introduce a parameter optimized algorithm. Based on an in-depth numerical evaluation, I investigate the performance of SWeRC and reveal optimal convergence parameters for both convergence speed and stability.","PeriodicalId":375803,"journal":{"name":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTCFall.2017.8288268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Densities in Vehicular Ad-Hoc Networks (VANETs) are highly dynamic and the amount of information shared can easily exceed the limited resource capacity. LIMERIC, a state-of-the-art congestion control mechanism, is designed to reduce the network load by adjusting the message rate based on the current resource utilization. However, due to its fixed convergence parameters, it suffers from scalability and fails to provide stability under high densities. In this paper, I introduce Self-Weighted Rate Control (SWeRC) which achieves a scalability- independent, efficient, and fair resource allocation. I analyze the effect of the convergence parameters and subsequently introduce a parameter optimized algorithm. Based on an in-depth numerical evaluation, I investigate the performance of SWeRC and reveal optimal convergence parameters for both convergence speed and stability.