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首页> 外文期刊>International Journal of Distributed Sensor Networks >Cooperative Downloading by Multivehicles in Urban VANET
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Cooperative Downloading by Multivehicles in Urban VANET

机译:城市VANET中多车协同下载

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In VANET (vehicular ad hoc network), RSUs (road side units) have limited coverage and high deployment cost, so they are deployed sparsely in urban area, which leads to blind zone (BZ) between adjacent RSUs, where vehicles cannot connect to Internet by RSUs. In this paper, we study how to use RSUs and vehicles to download big files cooperatively in BZ. In order to choose the cooperative vehicles with minimum total delay, we propose a sequential decision vehicle selection method based on the residual file (SSRF). The method divides the process of selection into several stages and selects cooperative vehicles from the candidates; the decision sequence generated by SSRF determines the set of cooperative vehicles. Simulation and data analysis show that our method is effective in terms of delivered ratio and file delivered delay.
机译:在VANET(车载自组网)中,RSU(路边单元)的覆盖范围有限且部署成本较高,因此它们在市区的部署稀疏,从而导致相邻RSU之间存在盲区(BZ),车辆无法连接到Internet由RSU。在本文中,我们研究了如何使用RSU和车辆在BZ中协同下载大文件。为了选择总延迟最小的合作车辆,我们提出了一种基于残差文件(SSRF)的顺序决策车辆选择方法。该方法将选择过程分为几个阶段,并从候选者中选择合作车辆。 SSRF生成的决策序列确定了协作车辆的集合。仿真和数据分析表明,该方法在传递率和文件传递延迟方面是有效的。

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