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A Gateway Deployment Algorithm Based on Clustering in Wireless Mesh Networks

机译:无线网状网络中基于集群的网关部署算法

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Gateway deployment is an important research field in Wireless Mesh Networks. According to the idea of spatial clustering, this paper proposed a gateway deployment algorithm (IKGA) which based on the improved k-means clustering method. Firstly, based on the idea of the minimum value of spatial distance cost, designed a network partitioning algorithm. Aims to obtain the number of gateways to a wireless Mesh networks which is given topology. Then take advantage of the improved K-means clustering algorithm to determine the location of the initial gateway, and the solution is adjusted and optimized. Ultimately achieved the load balance of the entire network. Simulation results demonstrate the effectiveness of the algorithm. Experimental results show that after adjusting and optimizing in the limited times, the algorithm can obtained fewer hops between nodes and the less number of gateways.
机译:网关部署是无线网状网络中的重要研究领域。根据空间聚类的思想,提出了一种基于改进的k均值聚类方法的网关部署算法(IKGA)。首先,基于空间距离成本最小值的思想,设计了一种网络划分算法。旨在获得给定拓扑的无线Mesh网络的网关数量。然后利用改进的K-means聚类算法确定初始网关的位置,并对解决方案进行调整和优化。最终实现了整个网络的负载平衡。仿真结果证明了该算法的有效性。实验结果表明,在有限的时间内进行调整和优化后,该算法可以获得更少的节点间跳数和更少的网关数量。

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