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A Collaborative Environment Perception Approach for Vehicular Ad hoc Networks

机译:车辆临时网络的协作环境感知方法

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In this paper, we focus on vehicular safety applications based on the Dedicated Short Range Communication (DSRC) standard. We propose a new mechanism to alleviate channel congestion by reducing the beacons load while maintaining an accurate awareness level. Our scheme is based on the collective perception concept which consists in sharing perceived status information collected by vehicles equipped with different types of sensors (radars, lidars, cameras, etc.). To achieve our goal, we propose two main schemes. The first one consists in implementing the collective perception capability on vehicles and adding a new category of status messages to share locally collected sensor data in order to reduce channels load and enhance vehicles' awareness. The second scheme concerns the accuracy level of the received information from the collective perception enabled vehicles by fixing a prior error threshold on the position. The method proposed is validated by simulations and the results obtained are compared to those of an application based on the traditional beaconing scheme of the IEEE802.11p standard. The simulations show that the proposed scheme is able to significantly reduce the load on the control channel incurred by the beacons and the packet error ratio for different network densities and built-in sensors characteristics.
机译:在本文中,我们专注于基于专用短程通信(DSRC)标准的车辆安全应用。我们提出了一种通过减少信标负荷来缓解信道拥塞的新机制,同时保持准确的意识水平。我们的计划是基于集体感知概念,该概念包括分享由配备不同类型传感器(雷达,Lidars,摄像机等)的车辆收集的感知状态信息。为了实现我们的目标,我们提出了两个主要计划。第一个包括在车辆上实施集体感知能力并添加新的状态消息,以共享本地收集的传感器数据,以减少通道负荷并提高车辆的意识。第二种方案涉及通过固定在位置上的先前误差阈值来实现来自集体感知的车辆的所接收信息的准确度。所提出的方法通过模拟验证,并将获得的结果与基于IEEE802.11p标准的传统信标方案的应用程序进行比较。模拟表明,该方案能够显着降低由信标产生的控制信道和不同网络密度的数据包误差比和内置传感器特性的负载。

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