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A novel algorithm to form stable clusters in vehicular ad hoc networks on highways

机译:一种在高速公路车辆自组织网络中形成稳定集群的新算法

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摘要

AbstractClustering in vehicular ad hoc networks (VANET) is one of the control schemes used to make VANET global topology less dynamic. Many of the VANET clustering algorithms are derived from mobile ad hoc networks (MANET). However, VANET nodes are characterized by their high mobility, and the existence of VANET nodes in the same geographic proximity does not mean that they exhibit the same mobility patterns. Therefore, VANET clustering schemes should take into consideration the degree of the speed difference among neighboring nodes to produce relatively stable clustering structure. In this paper, we introduce a new clustering technique suitable for the VANET environment on highways with the aim of enhancing the stability of the network topology. This technique takes the speed difference as a parameter to create relatively stable cluster structure. We also developed a new multi-metric algorithm for cluster-head elections. A simulation was conducted to evaluate our method and compare it with the most commonly used clustering methods. The simulation results show that our technique provides more stable cluster structure on the locale scale which results in a more stable network structure on the global scale. The proposed technique reduces the average number of clusters changed per vehicle by 34-46%, and increases the average cluster lifetime by 20-48% compared to the existing techniques.
机译:摘要车载自组织网络(VANET)中的集群是用于使VANET全局拓扑动态性降低的控制方案之一。许多VANET群集算法均源自移动自组织网络(MANET)。但是,VANET节点以其高移动性为特征,并且VANET节点在相同地理位置附近的存在并不意味着它们表现出相同的移动性模式。因此,VANET群集方案应考虑相邻节点之间速度差异的程度,以产生相对稳定的群集结构。在本文中,我们引入了一种新的适用于高速公路VANET环境的聚类技术,目的是增强网络拓扑的稳定性。该技术将速度差作为参数来创建相对稳定的群集结构。我们还为簇头选举开发了一种新的多度量算法。进行了仿真以评估我们的方法,并将其与最常用的聚类方法进行比较。仿真结果表明,我们的技术在区域范围内提供了更稳定的群集结构,从而在全球范围内提供了更稳定的网络结构。与现有技术相比,所提出的技术使每辆车改变的平均簇数减少了34-46%,并使平均簇寿命增加了20-48%。

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