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Determination method of optimal number of clusters for clustered wireless sensor networks

机译:集群无线传感器网络最优集群数的确定方法

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摘要

In this paper, we present an analytical model for determining the optimal number of clusters, with the objective of minimizing the communication costs in a clustered wireless sensor network (WSN). Sensor nodes are located randomly and distributed according to a homogeneous two-dimensional Poisson point process. Overall communication costs in the network are calculated analytically based on a practical energy consumption model at node level. The optimal probability of being a cluster head (CH) for each node is deduced by minimizing a cost function taking into account the energy dissipation of nodes. The scenarios with single-hop and multi-hop clustered networks are investigated. Simulation results show the existence of the optimum number of clusters which improves the energy efficiency of clustering schemes. We also verify by simulations that the analytical optimal probability of being a CH can provide a good approximation of the actual optimum probability, regardless of the different densities of nodes in the network.
机译:在本文中,我们提出了一种用于确定最佳群集数的分析模型,目的是将群集无线传感器网络(WSN)中的通信成本降至最低。传感器节点是随机分布的,并根据均匀的二维Poisson点过程进行分布。网络中的总体通信成本是根据节点级别的实际能耗模型进行分析计算的。考虑到节点的能量消耗,通过最小化成本函数,得出每个节点成为簇头(CH)的最佳概率。研究了具有单跳和多跳群集网络的方案。仿真结果表明,存在最佳数目的聚类,从而提高了聚类方案的能效。我们还通过仿真验证了,无论网络中节点的密度如何,作为CH的解析最优概率都可以提供实际最优概率的良好近似值。

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