东北大学学报(自然科学版) ›› 2008, Vol. 29 ›› Issue (10): 1422-1425.DOI: -

• 论著 • 上一篇    下一篇

基于非规范二维Haar小波变换WSN数据管理

廖先林;石凯;李晓明;赵林亮;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2008-10-15 发布日期:2013-06-22
  • 通讯作者: Liao, X.-L.
  • 作者简介:-
  • 基金资助:
    国家高技术研究发展计划项目(2003AA712032)

WSN data management based on non-standard 2D Haar wavelet transform

Liao, Xian-Lin (1); Shi, Kai (1); Li, Xiao-Ming (1); Zhao, Lin-Liang (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2008-10-15 Published:2013-06-22
  • Contact: Liao, X.-L.
  • About author:-
  • Supported by:
    -

摘要: 提出基于非规范二维Haar小波变换的无线传感器网络管理结构,以减少传感器节点间的数据传输量.利用小波变换将数据在不同尺度上分解生成小波系数以进行传输,对小波系数进行重构可还原原始数据.基于非规范二维Haar小波分解算法实现了数据汇聚,基于非规范二维Haar小波逆变换算法实现了数据重构.使用MATLAB仿真表明,基于非规范二维小波变换的数据管理结构能够在保持数据原有特征的同时,大大减少网络的数据传输量.

关键词: 无线传感器网络, 小波变换, 数据管理, 传感器代理, 近似查询

Abstract: The WSN management based on non-standard 2D Haar wavelet transform was designed to reduce the data transmission between nodes. Since the wavelet transform can be used to decompose the data into wavelet coefficients on different scales for transmission, the wavelet coefficients can be reconstructed to recover the original data. The algorithm of non-standard 2D Haar wavelet decomposition implements the aggregation of data, but the algorithm of non-standard 2D Haar wavelet inverse transform implements the reconstruction of date. The result of the MATLAB simulation showed that the wavelet transform data management structure can decrease greatly the load of data transmission with the features of those data kept up.

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