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A routing strategy for vehicular ad hoc networks in city environments

机译:城市环境中车辆自组织网络的路由策略

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Routing of data in a vehicular ad hoc network is a challenging task due to the high dynamics of such a network. Recently, it was shown for the case of highway traffic that position-based routing approaches can very well deal with the high mobility of network nodes. However, baseline position-based routing has difficulties to handle two-dimensional scenarios with obstacles (buildings) and voids as it is the case for city scenarios. In this paper we analyze a position-based routing approach that makes use of the navigational systems of vehicles. By means of simulation we compare this approach with non-position-based ad hoc routing strategies (dynamic source routing and ad-hoc on-demand distance vector routing). The simulation makes use of highly realistic vehicle movement patterns derived from Daimler-Chrysler's Videlio traffic simulator. While DSR's performance is limited due to problems with scalability and handling mobility, both AODV and the position-based approach show good performances with the position-based approach outperforming AODV.
机译:由于这种网络的高动态性,因此在车辆自组织网络中路由数据是一项具有挑战性的任务。最近,对于高速公路交通的情况表明,基于位置的路由方法可以很好地应对网络节点的高移动性。但是,基于基线位置的路由很难处理带有障碍物(建筑物)和空隙的二维场景,就像城市场景一样。在本文中,我们分析了利用车辆导航系统的基于位置的路线选择方法。通过仿真,我们将该方法与基于非位置的临时路由策略(动态源路由和临时按需距离矢量路由)进行了比较。该模拟利用了从戴姆勒-克莱斯勒(Daimler-Chrysler)的Videlio交通模拟器获得的高度逼真的车辆运动模式。虽然DSR的性能由于可伸缩性和处理移动性方面的问题而受到限制,但是AODV和基于位置的方法都表现出良好的性能,而基于位置的方法优于AODV。

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