计算机科学 ›› 2012, Vol. 39 ›› Issue (Z11): 103-107.

• 服务化的科研成果 • 上一篇    下一篇

基于自适应动态均匀分簇的WSN数据融合算法

杨婷   

  1. (绍兴文理学院元培学院 绍兴 312000)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Adaptive Dynamic Uniform Clustering Data Aggregation Algorithm for Wireless Sensor Networks

  • Online:2018-11-16 Published:2018-11-16

摘要: 针对LEACH算法无法进行数据融合以及簇首分布不均匀引起的局部网络能耗过多、失效过快等问题,提出 一种基于自适应动态均匀分簇的数据融合算法ADUC o ADUC算法在簇结构生成阶段引入逻辑区域划分机制和簇 首能量优选机制,保证了簇首分布的均匀性和网络的能量均衡性;在数据融合阶段使用自适应加权融合机制来减小冗 余和误差,并减少报文数据的数量。仿真结果证明,ADUC算法可以在提高监测数据精度的同时减少网络中43. 100 的总体能耗。

关键词: 数据融合,无线传感器网络,分簇,自适应,能耗

Abstract: In order to solve the problem of unable to do data aggregation operation and the problem of unbalanced ener- gy consumption cased by the nonuniform clustering process in the LEACH protocol, an Adaptive Dynamic Uniform Clustering (ADUC) data aggregation algorithm is proposed. In the cluster construct phase of ADUC, the logic area di- vide mechanism and the cluster head energy optimize mechanism arc introduced to ensure the uniformity of cluster head distribution and the energy consumption balance of the network, in the data aggregation phase, the adaptive weighted mechanism is introduced to reduce the redundancy and errors of the monitoring data and control the amount of commu- nication packets. Simulation results prove that ADUC algorithm can not only improve the accuracy of monitoring data but also reduce more than 43. 1 0 0 energy consumption of the network.

Key words: Data aggregation, Wireless sensor networks, Clustering, Adaptive, Energy consumption

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