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基于小波变换的传感网簇内数据融合方案
引用本文:张靓,袁野,王玫.基于小波变换的传感网簇内数据融合方案[J].计算机与数字工程,2012,40(7):19-21,117.
作者姓名:张靓  袁野  王玫
作者单位:1. 中国人民解放军海军驻大连426厂军事代表室 大连116005
2. 中国人民解放军91550部队 大连116023
3. 中国舰船研究设计中心 武汉430064
摘    要:无线传感器网络中同一簇内采集到的数据具有空间相关性,由此文章提出了一种基于小波变换的簇内数据融合方案。在信源编码中,利用空频变换方法,在簇头节点对簇内数据去除空间上的相关性,从而实现数据融合,并使得SINK节点重构恢复的数据与原始数据质量基本相同。经过Matlab仿真分析,该数据融合方案在压缩比和失真度上均表现出良好的特性。

关 键 词:无线传感器网络  空间相关性  数据融合  小波变换

A Wavelet-based In-cluster Data Aggregation Scheme
ZHANG Liang , YUAN Ye , WANG Mei.A Wavelet-based In-cluster Data Aggregation Scheme[J].Computer and Digital Engineering,2012,40(7):19-21,117.
Authors:ZHANG Liang  YUAN Ye  WANG Mei
Affiliation:1.The Military Representative Office of Navy At Dalian 426 Factory,Dalian 116005)(2.No.91550 Troops of PLA,Dalian 116023)(3.China Ship Development and Design Center,Wuhan 430064)
Abstract:The presence of spatial correlation in in-cluster data has been exploited to minimize communication costs(and hence,energy costs) incurred during data gathering in a sensor network.Using source coding scheme to compress the correlated information that observed by multiple sensors,quantize the correlated observations independently,and transmit independent bits to a central processor,which is responsible for reconstructing the physical environment with the smallest distortion possible.This paper proposes a Wavelet-based In-cluster Data Aggregation Scheme(WIDAS),in which the data aggregation makes use of the characteristic of wavelet transform.Simulation results show that the proposed scheme performs well in compression scale and distortion degree.
Keywords:wireless sensor network  spatial correlation  data aggregation  wavelet transform
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