吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

综合负载均衡与能量消耗的无线传感器网络分簇算法

姜彬彬1, 于寒2   

  1. 1. 南阳理工学院 软件学院, 河南 南阳 473000; 2. 吉林农业大学 科研处, 长春 130118
  • 收稿日期:2016-10-08 出版日期:2017-11-26 发布日期:2017-11-29
  • 通讯作者: 姜彬彬 E-mail:jbb_82@163.com

Clustering Algorithm for Wireless Sensor Networks withIntegrated Load Balancing and Energy Consumption

JIANG Binbin1, YU Han2   

  1. 1. School of Software, Nanyang Institute of Technology, Nanyang 473000, Henan Province, China;2. Scientific Bureau, Jilin Agricultural University, Changchun 130118, China
  • Received:2016-10-08 Online:2017-11-26 Published:2017-11-29
  • Contact: JIANG Binbin E-mail:jbb_82@163.com

摘要: 针对目前无线传感器网络分簇算法的能耗不均衡、 网络生命周期短等问题, 设计一种综合负载均衡与能量消耗的无线传感器网络分簇算法. 首先根据传感器节点与基站节点间的距离, 将节点合理划分到相应的簇中; 然后引入负载均衡因子, 建立无线传感器网络的数据聚合路由, 节约数据传输能量; 最后采用MATLAB2014工具箱进行性能分析. 结果表明, 该算法的节点能量利用率较高, 能保持传感器节点能量消耗的均衡, 且网络生存时间较长.

关键词: 负载均衡因子, 数据聚合算法, 无线传感器网络, 簇头选择

Abstract: Aiming at the problems of uneven energy consumption and short network life cycle in clustering algorithms for wireless sensor networks, we designed a clustering algorithm for wireless sensor networks with integrated load balancing and energy consumption. Firstly, the nodes were reasonably divided into the corresponding clusters according to the distance between the sensor nodes and the base station nodes. Secondly, the load balancing factor was in
troduced to build data aggregation routing in wireless sensor networks to save data transmission energy. Finally, MATLAB2014 toolbox was used to analyze the performance of clustering algorithm in wireless sensor networks. The results show that the proposed algorithm can improve the energy efficiency of sensor nodes, maintain the balance of energy consumption of sensor nodes, and prolong the lifetime of wireless sensor networks.

Key words: load balancing factor, wireless sensor networks, data aggregation algorithm, cluster head selection

中图分类号: 

  • TP393