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A Node Quality based Clustering Algorithm in Wireless Mobile Ad Hoc Networks

机译:无线移动自组织网络中基于节点质量的聚类算法

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A new strategy for clustering a wireless AD HOC network is proposed. The main contribution of our work is to improve Weighted Clustering Algorithm (WCA) [5] and other similar algorithms. In literature, the node degree is considered as an important weight metric in clusterhead selection process. Unfortunately, this metric is not consistent especially when it is considered separately at the node environment such as the neighbours’ location within the transmission range zone of this node. To overcome this inefficiency, we propose two new models. Thereafter, we combined these two models to take profit of their efficiencies. The new combined model, motivates us to generate and reformulate many node degree based formula given in literature and dealing with Quality of Clustering (QoS) as stability and load balancing clustering parameters. We showed that our algorithm outperforms WCA in the in terms of cluster formation and stability.
机译:提出了一种新的无线AD HOC网络集群策略。我们工作的主要贡献是改进加权聚类算法(WCA)[5]和其他类似算法。在文献中,节点度被视为簇头选择过程中的重要权重度量。不幸的是,该度量标准并不一致,尤其是在节点环境(例如该节点的传输范围区域内的邻居位置)单独考虑时。为了克服这种低效率,我们提出了两种新模型。此后,我们将这两种模型结合起来以利用其效率。新的组合模型激励我们生成和重新构造许多文献中给出的基于节点度的公式,并将聚类质量(QoS)作为稳定性和负载平衡聚类参数来处理。我们表明,在聚类形成和稳定性方面,我们的算法优于WCA。

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