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Dynamic Change Method of Cluster Size in WSN

机译:WSN中簇大小的动态变化方法

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摘要

One of the major issues in wireless sensor network is developing an energy-efficient routing protocol. LEACH is very energy-efficient routing protocol based on the clustering of the sensor nodes. However, energy consumption of nodes tends to become uneven in LEACH. HEED improves the LEACH clustering algorithm by using information of residual electric power of nodes. Although HEED provides better performance than LEACH, it does not consider the number of adjacent nodes. Therefore, the cluster head does not efficiently cover the nodes in HEED. HIT is based on the small transmission range and mul-ti-hop communication. Though HIT has improved the performance dramatically, unbalance of the electric power consumption is remained. In this paper, we propose energy-efficient clustering algorithm considering adjacent nodes and residual electric power. Characteristics of our approach are stepwise clustering from an initial cluster head and dynamic change of cluster size. In addition, we inspect effectiveness of our method by comparing our method with the traditional method by the simulation. From the results of the simulation, our algorithm showed longer average life time than previous methods.
机译:无线传感器网络中的主要问题之一是开发一种节能路由协议。 LEACH是基于传感器节点群集的非常节能的路由协议。但是,节点的能量消耗在LEACH中趋于变得不均匀。 HEED通过使用节点的剩余电功率信息来改进LEACH聚类算法。尽管HEED提供的性能优于LEACH,但它并未考虑相邻节点的数量。因此,群集头不能有效地覆盖HEED中的节点。 HIT基于较小的传输范围和多跳通信。尽管HIT极大地提高了性能,但仍保持了功耗的不平衡。在本文中,我们提出了一种考虑相邻节点和剩余电力的节能聚类算法。我们方法的特点是从初始簇头开始逐步聚类,并且簇大小动态变化。另外,我们通过仿真比较了我们的方法和传统方法,从而检验了方法的有效性。从仿真结果看,我们的算法显示出比以前的方法更长的平均寿命。

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