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A new stability based clustering algorithm (SBCA) for VANETs

机译:VANET的一种新的基于稳定性的聚类算法(SBCA)

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Lately, extensive research efforts have been dedicated to the design of clustering algorithms to organize nodes in Vehicular Ad Hoc Networks (VANETs) into sets of clusters. However, due to the dynamic nature of VANETS, nodes frequently joining or leaving clusters jeopardize the stability of the network. The impact of these perturbations becomes worse on network performance if these nodes are cluster heads. Therefore, cluster stability is the key to maintain a predictable performance and has to consider reducing the clustering overhead, the routing overhead and the data losses. In this paper, we propose a new stability-based clustering algorithm (SBCA), specifically designed for VANETs, which takes mobility, number of neighbors, and leadership (i.e., cluster head) duration into consideration in order to provide a more stable architecture. Extensive simulations show that the proposed scheme can significantly improve the stability of the network by extending the cluster head lifetime longer than other previous popular clustering algorithms do.
机译:近来,大量的研究工作致力于聚类算法的设计,以将车辆自组织网络(VANET)中的节点组织成聚类集。但是,由于VANETS的动态特性,频繁加入或离开群集的节点会危害网络的稳定性。如果这些节点是群集头,则这些干扰对网络性能的影响将变得更糟。因此,群集稳定性是维持可预测性能的关键,并且必须考虑减少群集开销,路由开销和数据丢失。在本文中,我们提出了一种新的基于稳定性的聚类算法(SBCA),该算法专为VANET设计,它考虑了移动性,邻居数和领导力(即簇头)的持续时间,以提供更稳定的体系结构。大量的仿真表明,与其他流行的聚类算法相比,该方法可以通过延长簇头寿命来显着提高网络的稳定性。

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