{"title":"Efficient Scheduling for VANET Considering Renewable Energy","authors":"A. Bondok, Wonseok Lee, Taejoon Kim","doi":"10.23919/ICACT48636.2020.9061360","DOIUrl":null,"url":null,"abstract":"The realization of intelligent transportation systems requires the use of specific networks such as Vehicular Ad Hoc Networks (VANETs). VANETs are used to connect vehicles with each other and with fixed infrastructure Road Side Units (RSUs). In powering the RSUs, renewable energy is a great alternative to conventional electric grid. This paper proposes an efficient scheduling algorithm for serving vehicles in a green vehicular network with the aim to maximize the number of served vehicles while maintaining a sustainable energy level. We define and compute four metrics, for each vehicle, of a substantial impact on both the quality of service (QoS) and the power to be consumed. The proposed scheme outperforms other scheduler in terms of the percentage of served vehicles under different arrival rates, various values of average vehicle velocities, variable data size and varying the amount of harvested energy.","PeriodicalId":296763,"journal":{"name":"2020 22nd International Conference on Advanced Communication Technology (ICACT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 22nd International Conference on Advanced Communication Technology (ICACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICACT48636.2020.9061360","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The realization of intelligent transportation systems requires the use of specific networks such as Vehicular Ad Hoc Networks (VANETs). VANETs are used to connect vehicles with each other and with fixed infrastructure Road Side Units (RSUs). In powering the RSUs, renewable energy is a great alternative to conventional electric grid. This paper proposes an efficient scheduling algorithm for serving vehicles in a green vehicular network with the aim to maximize the number of served vehicles while maintaining a sustainable energy level. We define and compute four metrics, for each vehicle, of a substantial impact on both the quality of service (QoS) and the power to be consumed. The proposed scheme outperforms other scheduler in terms of the percentage of served vehicles under different arrival rates, various values of average vehicle velocities, variable data size and varying the amount of harvested energy.
智能交通系统的实现需要使用特定的网络,如车辆自组织网络(VANETs)。vanet用于车辆之间以及与固定基础设施Road Side Units (rsu)之间的连接。在为rsu供电方面,可再生能源是传统电网的绝佳替代品。本文提出了一种高效的绿色车辆网络服务车辆调度算法,其目标是在保持可持续能量水平的同时使服务车辆数量最大化。我们为每辆车定义并计算了四个指标,这些指标对服务质量(QoS)和消耗的功率都有重大影响。该方案在不同到达率、不同平均车速值、不同数据大小和不同能量收集量下的服务车辆百分比方面优于其他调度程序。