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首页> 外文期刊>International journal of mobile network design and innovation >An enhanced clustering algorithm for mobile ad hoc networks to improve the throughput
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An enhanced clustering algorithm for mobile ad hoc networks to improve the throughput

机译：用于移动自组织网络的增强型聚类算法，可提高吞吐量

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Mobile ad hoc networks (MANETs) consist of a number of wireless hosts that forms network without a fixed infrastructure. Clustering plays a vital role for MANETs in managing the resources. Clustering involves two processes such as cluster head election and cluster maintenance. Since cluster head ensures the network performance, it is important to elect the desired cluster heads. In this paper, an enhanced weight-based clustering algorithm using a mobility prediction scheme (EWCAMP) for finding the desired cluster head is proposed. In the cluster maintaining phase the proposed algorithm defines the admission criteria for newly arriving nodes, which helps the nodes in joining the correct cluster. The goals of the proposed algorithm are reducing the number of clusters and re-affiliation of nodes. We have evaluated the performance of the proposed algorithm using network simulator (NS2). The simulation results demonstrate the superior performance of the proposed algorithm.
机译：移动自组织网络（MANET）由许多无线主机组成，这些无线主机形成了没有固定基础结构的网络。群集对于MANET在管理资源方面起着至关重要的作用。群集涉及两个过程，例如群集头选举和群集维护。由于群集头确保网络性能，因此选择所需的群集头很重要。本文提出了一种使用移动性预测方案（EWCAMP）的增强型基于权重的聚类算法，用于查找所需的簇头。在集群维护阶段，提出的算法为新到达的节点定义了准入标准，这有助于节点加入正确的集群。提出的算法的目标是减少群集的数量和节点的重新隶属关系。我们已经使用网络模拟器（NS2）评估了所提出算法的性能。仿真结果证明了该算法的优越性能。

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