吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

基于双簇头聚类分簇和数据融合的无线传感器网络路由算法

刘壮, 冯欣, 王雁龙, 李腾, 张晶晶, 杨文龙   

  1. 长春理工大学 计算机科学与技术学院, 长春 130012
  • 收稿日期:2015-01-23 出版日期:2015-09-26 发布日期:2015-09-29
  • 通讯作者: 刘壮 E-mail:lz1227@live.cn

An Improved Clustering Routing Algorithm Based onDoubleCH Clustering and Data Fusion in WSN

LIU Zhuang, FENG Xin, WANG Yanlong, LI Teng, ZHANG Jingjing, YANG Wenlong   

  1. College of Computer Science and Technology, Changchun University ofScience and Technology, Changchun 130012, China
  • Received:2015-01-23 Online:2015-09-26 Published:2015-09-29
  • Contact: LIU Zhuang E-mail:lz1227@live.cn

摘要:

针对无线传感器网络中基于低能量自适应聚类层次(LEACH)算法进行分簇时出现的簇分布不均匀及路由能量消耗过快问题, 提出一种基于双簇头聚类和数据融合的分簇算法. 该算法在分好的簇中选择两个级别的簇头, 两个簇头履行不同职责, 能更好地均摊能量消耗, 提高了分簇均匀性. 仿真实验结果表明, 该算法降低了网络能耗, 提升了网络生命周期.

关键词: 无线传感器网络, 低能量自适应聚类层次(LEACH), 聚类, 数据融合, 质心

Abstract:

We proposed an algorithm based on double cluster heads clustering and data fusion in wireless sensor network to solve the problems of uneven distribution of clusters and high energy consumption using low energy adaptive clustering hierarchy (LEACH). In the improved protocol, the network uses a clustering algorithm to establish clusters, and then each cluster selects two CHs. One CH is close to sink node and transmits data from its cluster to sink node, and the other CH is close to centroid of the cluster and receives data from general nodes and performs data fusion. Simulation experiments show that the improved protocol reduces the energy consumption of network and extends the lifecycle of network.

Key words: wireless sensor network (WSN), low energy adaptive clustering hierarchy (LEACH), cluster, data fusion, centroid

中图分类号: 

  • TP393