{"title":"Location-aware and load-balanced data delivery at road-side units in vehicular Ad hoc networks","authors":"T. P. Van, V. Nguyen","doi":"10.1109/ISCE.2010.5522761","DOIUrl":null,"url":null,"abstract":"Being composed of car electronics and road-side communication devices, vehicular ad hoc networking (VANET) is the heart of intelligent transportation system. Beside car-to-car communications, the system also communicates to centralized points in infrastructure networks. Given that data load is heavy when the density of cars is high and that they move fast, roadside electronics potentially face congestion. This study designs a novel framework finding the best route with respect to efficiency and fairness among road-side units. The introduced algorithm exploits both position data and load to make routing decisions optimally. Simulation results clearly demonstrate the soundness of our proposals.","PeriodicalId":403652,"journal":{"name":"IEEE International Symposium on Consumer Electronics (ISCE 2010)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Symposium on Consumer Electronics (ISCE 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.2010.5522761","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
Being composed of car electronics and road-side communication devices, vehicular ad hoc networking (VANET) is the heart of intelligent transportation system. Beside car-to-car communications, the system also communicates to centralized points in infrastructure networks. Given that data load is heavy when the density of cars is high and that they move fast, roadside electronics potentially face congestion. This study designs a novel framework finding the best route with respect to efficiency and fairness among road-side units. The introduced algorithm exploits both position data and load to make routing decisions optimally. Simulation results clearly demonstrate the soundness of our proposals.
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