LEACH extremum double cluster head clustering method based on CS algorithm

WU Hui; ZHANG Pin

doi:10.13873/J.1000-9787(2021)12-0141-04

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LEACH extremum double cluster head clustering method based on CS algorithm

更新时间：2025-09-11

- LEACH extremum double cluster head clustering method based on CS algorithm
- Issue 12, Pages: 141-144(2021)
- 作者机构：
  
  杭州电子科技大学通信工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2021)12-0141-04
  CLC： TN929.5;TP212.9
- Published：2021
- 稿件说明：
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WU Hui, ZHANG Pin. LEACH extremum double cluster head clustering method based on CS algorithm[J]. 2021, (12): 141-144.
DOI：

WU Hui, ZHANG Pin. LEACH extremum double cluster head clustering method based on CS algorithm[J]. 2021, (12): 141-144. DOI： 10.13873/J.1000-9787(2021)12-0141-04.

摘要

为降低无线传感器网络能量消耗问题

提出了一种基于布谷鸟搜索(CS)算法的LEACH极值双簇首分簇算法。首先根据节点的剩余能量和到基站的距离选择簇首

避免了因随机方式带来的不合理性和不均匀性;但由于节点数目最多的簇、簇首距离汇聚节点最远的簇

其簇首在管理和数据传输上需要消耗更多的能量

因此选举副簇首来分担能量负载;最后在数据传输阶段

各簇首利用CS算法选择转发节点建立当前簇首到基站的簇间路由

CS算法能够快速地选择最佳中继节点优化传输路由。仿真结果表明:本文算法能够很好地提高网络的生命周期

改善传感器网络性能。

Abstract

In order to reduce the energy consumption of wireless sensor networks（WSNs）

a LEACH extremum double cluster head clustering algorithm based on cuckoo search algorithm is proposed.Firstly

the cluster heads are selected according to remaining energy of nodes and the distance from the base station to avoid the irrationality and unevenness caused by the random method.The remaining nodes are added to the nearest cluster heads.Secondly

due to the cluster with the largest number of nodes and the cluster head farthest from the sink node

the cluster head needs to consume more energy in management and data transmission.Therefore

deputy cluster heads are elected to share the energy load.Finally

in data transmission stage

the cluster heads use the cuckoo search algorithm to select the forwarding nodes to establish the routing between the current cluster heads and the optimal stations

cuckoo algorithm can quickly select the optimal relay node to optimize the transmission routing.The simulation results show that the algorithm can increase the life cycle of the network and improve the performance of the sensor network.

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