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A Novel Passive Road Side Unit Detection Scheme in Vehicular Networks

机译:车辆网络中的新型无源路侧单元检测方案

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The data dissemination and content delivery is a challenging research subject in the Internet of Things (IoT). Especially, in the Vehicular Networks environment, the network topology has the transient nature, due to the fast-moving velocity of the vehicles. One potential solution to this task is to improve the probability of the successful communication and content delivery. Hence, in this paper, we propose a novel and simple passive road side unit (RSU) localization scheme to estimate the location of the RSU, by which the vehicle can pre-determine the desired RSU to communicate based on its own position and routing information. By exploring the Doppler effects of the received signal, the RSU location estimator is derived by the maximum likelihood estimation method. Experimental results verify the correctness of the proposed estimation scheme.
机译:数据传播和内容交付是事物互联网(物联网)的具有挑战性的研究主题。特别是,在车辆网络环境中,由于车辆的快速移动速度,网络拓扑具有瞬态性质。此任务的一个潜在解决方案是提高成功沟通和内容交付的概率。因此,在本文中,我们提出了一种新颖且简单的无源路侧单元(RSU)定位方案来估计RSU的位置,通过该方案,通过该方法估计车辆可以预先确定所需的RSU以基于其自己的位置和路由信息进行通信。通过探索接收信号的多普勒效应,RSU定位估计器由最大似然估计方法导出。实验结果验证了所提出的估算方案的正确性。

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