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LEACH-G: an Optimal Cluster-heads Selection Algorithm based on LEACH

机译:LEACH-G:一种基于LEACH的最优簇头选择算法

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摘要

As a classic clustering algorithm, LEACH is widely used in wireless sensor networks. Due to the random cluster head selection process, LEACH does not guarantee optimization for the number and position of cluster heads. In order to further optimize LEACH, an optimal energy-efficient cluster-heads selection algorithm LEACH-G for LEACH protocol is presented. We calculate the optimal number of cluster heads based on energy model for LEACH algorithm, and further set forth on LEACH-G algorithm for optimal cluster heads. We use NS2 simulation platform to compare LEACH-G with LEACH. By calculating the optimal number of cluster-heads, the energy consumption of the sensor nodes in LEACH-G algorithm can be more evenly distributed in the wireless sensor networks to avoid too much energy consumption of single node to untimely death, which affect the network life cycle. Compared with LEACH protocol, the simulation results demonstrate that LEACH-G algorithm can effectively reduce the energy consumption and increase the system lifetime.
机译:作为一种经典的聚类算法,LEACH被广泛用于无线传感器网络。由于随机选择簇头,LEACH不能保证优化簇头的数量和位置。为了进一步优化LEACH,提出了一种针对LEACH协议的最优节能簇头选择算法LEACH-G。我们基于能量模型对LEACH算法计算出最优的簇头数,并进一步提出了LEACH-G算法的最优簇头。我们使用NS2仿真平台将LEACH-G与LEACH进行比较。通过计算最佳的簇头数量,LEACH-G算法中传感器节点的能耗可以更均匀地分布在无线传感器网络中,从而避免单个节点的能耗过多而导致过时死亡,从而影响网络寿命周期。仿真结果表明,与LEACH协议相比,LEACH-G算法可以有效降低能耗,延长系统寿命。

著录项

  • 来源
    《Journal of software》 |2013年第10期|2660-2667|共8页
  • 作者单位

    School of Computer Science, Hubei University of Technology, Wuhan, China;

    School of Computer Science, Hubei University of Technology, Wuhan, China;

    School of Computer Science, Hubei University of Technology, Wuhan, China;

    School of Computer Science, Hubei University of Technology, Wuhan, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    WSN; LEACH; Cluster head;

    机译:WSN;浸;簇头;

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