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Cluster-based location routing algorithm for vehicle to vehicle communication

机译:基于集群的车对车通信位置路由算法

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We present a new cluster-based location routing (CBLR) algorithm for vehicle to vehicle communication. We have evaluated the performance of two reactive (non-positional-based) routing algorithms, dynamic source routing (DSR) and ad-hoc on-demand distance vector routing (AODV), and one positional-based approach, cluster-based location routing algorithm (CBLR). A microscopic traffic model, developed in OPNET, has been used to simulate the mobility of the vehicles on a motorway. Finally, several metrics have been considered to evaluate the performance of the algorithms. Results show that clustering improves scalability and the nature of position-based routing algorithms such as CBLR can improve the performance of AODV and DSR in terms of EED and delivery ratio.
机译:我们提出了一种新的基于群集的位置路由(CBLR)算法,用于车辆与车辆之间的通信。我们评估了两种反应式(基于非位置)路由算法,动态源路由(DSR)和按需按需距离矢量路由(AODV)的性能,以及一种基于位置的方法(基于集群的位置路由)的性能。算法(CBLR)。在OPNET中开发的微观交通模型已用于模拟机动车在高速公路上的机动性。最后,已经考虑了几种指标来评估算法的性能。结果表明,聚类可以提高可伸缩性,基于位置的路由算法(如CBLR)的性质可以在EED和传递比率方面提高AODV和DSR的性能。

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