{"title":"基于传输功率的车联网公平分布式拥塞控制","authors":"E. Egea-López","doi":"10.1109/WoWMoM.2016.7523571","DOIUrl":null,"url":null,"abstract":"We model the problem of beaconing congestion control as a Network Utility Maximization (NUM) transmit power allocation problem. We propose a distributed congestion control algorithm by transmit power adaptation called FCCP, which allows to dynamically select the appropriate fairness notion. Our results show that FCCP converges to the close proximity of the optimal value both in static and dynamic multihop scenarios while keeping the channel load at the desired level.","PeriodicalId":187747,"journal":{"name":"2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Fair distributed Congestion Control with transmit power for vehicular networks\",\"authors\":\"E. Egea-López\",\"doi\":\"10.1109/WoWMoM.2016.7523571\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We model the problem of beaconing congestion control as a Network Utility Maximization (NUM) transmit power allocation problem. We propose a distributed congestion control algorithm by transmit power adaptation called FCCP, which allows to dynamically select the appropriate fairness notion. Our results show that FCCP converges to the close proximity of the optimal value both in static and dynamic multihop scenarios while keeping the channel load at the desired level.\",\"PeriodicalId\":187747,\"journal\":{\"name\":\"2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WoWMoM.2016.7523571\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WoWMoM.2016.7523571","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fair distributed Congestion Control with transmit power for vehicular networks
We model the problem of beaconing congestion control as a Network Utility Maximization (NUM) transmit power allocation problem. We propose a distributed congestion control algorithm by transmit power adaptation called FCCP, which allows to dynamically select the appropriate fairness notion. Our results show that FCCP converges to the close proximity of the optimal value both in static and dynamic multihop scenarios while keeping the channel load at the desired level.