ICCOMQS:智能测量框架,确保高度自动化车辆的可靠通信

Florian Jomrich, M. Grau, Tobias Meuser, T. Nguyen, Doreen Böhnstedt, R. Steinmetz
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引用次数: 6

摘要

为了确保乘客的安全,高度自动化的车辆必须依靠通过蜂窝通信的强大可靠的数据连接。由于车辆的移动性,与连接性变化相关的问题必须得到预测。为了解决这些问题,我们提出了ICCOMQS,这是一个能够智能分配蜂窝网络主动测量的框架。这些测量是在上传收集到的传感器数据和下载车辆更新的同时进行的。因此,我们的框架实现了一种创新的混合测量方法,它提供了详细的连接信息,而无需任何额外的传输成本,通常由额外的探测数据引入。此外,研究人员还研究了一套个人开发的算法来智能地分配测量数据,与基线分布方法相比,该算法实现了更高的覆盖面积(高达106%),传输的数据更少(高达67%)。
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ICCOMQS: Intelligent measuring framework to ensure reliable communication for highly automated vehicles
To ensure the safety of their passengers highly automated vehicles have to rely on a robust and reliable data connection via cellular communication. Issues related to the changing connectivity due to the mobility of the vehicles have to be anticipated. To solve these issues, we present ICCOMQS, a framework that enables the intelligent distribution of active measurements of the cellular network. These measurements are performed while uploading collected sensor data and downloading updates by the vehicles. Thus our framework enables an innovative hybrid measurement approach, which provides detailed connectivity information without any additional transmission costs, normally introduced by additional probing data. Furthermore a personally developed set of algorithms is investigated to distribute the measurements intelligently, which achieve an improved coverage area (up to 106%) with less data (up to 67%) to be transmitted in comparison to a baseline distribution approach.
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