Near-optimal, reliable and self-organizing hierarchical topology in VANET

Yair Allouche, M. Segal
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引用次数: 3

Abstract

In this paper we present the Distributed Construct Underlying Topology (D-CUT) algorithm, a self-organized algorithm aim to provide efficient, and reliable hierarchical topology by minimizing the interference between network participants. The D-CUT algorithm produces a geographically optimized clustering of the network, by grouping dense and consecutive nodes into clusters which are separated by maximally possible gaps. This type of clustering allows strong connections between cluster members and reduces the inter cluster interference. In addition, the awareness of each vehicle to the composition of its own cluster, and the location of its members enables a very intuitive and straightforward scheme for organizing and coordinating the vehicular network to achieve congestion control and efficient medium access performance. We show theoretically provable bounds for the algorithm performance as well as simulation study that supports our results.
VANET的近最优、可靠和自组织分层拓扑
在本文中,我们提出了分布式构建底层拓扑(D-CUT)算法,这是一种自组织算法,旨在通过最小化网络参与者之间的干扰来提供高效可靠的分层拓扑。D-CUT算法通过将密集和连续的节点分组到由最大可能的间隙分隔的集群中,产生地理上优化的网络聚类。这种类型的集群允许集群成员之间的强连接,并减少集群间的干扰。此外,每辆车对其自身集群组成的感知,以及其成员的位置,使得一个非常直观和直接的方案来组织和协调车辆网络,以实现拥塞控制和高效的媒体访问性能。我们展示了理论上可证明的算法性能边界以及支持我们结果的仿真研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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