DTW-based multi-wavelet data compression algorithm for wireless sensor networks

A data compression algorithm for wireless sensor networks based on DTW and multi-wavelet transform is pro-posed. Firstly, the correlation and warping path of asynchronous data point pairs is introduced, and then an iterative algo-rithm for solving DTW warping path with maximal similarity is designed...

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Main Authors: Si-wang ZHOU, Lan LI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-08-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.08.012/
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author Si-wang ZHOU
Lan LI
author_facet Si-wang ZHOU
Lan LI
author_sort Si-wang ZHOU
collection DOAJ
description A data compression algorithm for wireless sensor networks based on DTW and multi-wavelet transform is pro-posed. Firstly, the correlation and warping path of asynchronous data point pairs is introduced, and then an iterative algo-rithm for solving DTW warping path with maximal similarity is designed. Secondly, a best match point algorithm is pre-sented, which employs prediction to estimate the relationship of synchronous data vectors and then find out the best match points. A sensory data matrix with maximal correlation is thus obtained. Afterwards, a multi-wavelet transform is introduced, which is capable of utilizing the spatial correlation of sensory data matrix and solving the row-column asym-metry problem. Experiment results show that proposed method has higher energy concentration ratio, better reconstruc-tion accuracy and lower running time compared to the traditional distributed wavelet compression algorithm.
format Article
id doaj-art-d87190315b1d4fd392f5580c37b35436
institution Kabale University
issn 1000-436X
language zho
publishDate 2014-08-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-d87190315b1d4fd392f5580c37b354362025-01-14T07:25:18ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-08-0135869459683485DTW-based multi-wavelet data compression algorithm for wireless sensor networksSi-wang ZHOULan LIA data compression algorithm for wireless sensor networks based on DTW and multi-wavelet transform is pro-posed. Firstly, the correlation and warping path of asynchronous data point pairs is introduced, and then an iterative algo-rithm for solving DTW warping path with maximal similarity is designed. Secondly, a best match point algorithm is pre-sented, which employs prediction to estimate the relationship of synchronous data vectors and then find out the best match points. A sensory data matrix with maximal correlation is thus obtained. Afterwards, a multi-wavelet transform is introduced, which is capable of utilizing the spatial correlation of sensory data matrix and solving the row-column asym-metry problem. Experiment results show that proposed method has higher energy concentration ratio, better reconstruc-tion accuracy and lower running time compared to the traditional distributed wavelet compression algorithm.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.08.012/wireless sensor networkDTWwaveletdata compression
spellingShingle Si-wang ZHOU
Lan LI
DTW-based multi-wavelet data compression algorithm for wireless sensor networks
Tongxin xuebao
wireless sensor network
DTW
wavelet
data compression
title DTW-based multi-wavelet data compression algorithm for wireless sensor networks
title_full DTW-based multi-wavelet data compression algorithm for wireless sensor networks
title_fullStr DTW-based multi-wavelet data compression algorithm for wireless sensor networks
title_full_unstemmed DTW-based multi-wavelet data compression algorithm for wireless sensor networks
title_short DTW-based multi-wavelet data compression algorithm for wireless sensor networks
title_sort dtw based multi wavelet data compression algorithm for wireless sensor networks
topic wireless sensor network
DTW
wavelet
data compression
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.08.012/
work_keys_str_mv AT siwangzhou dtwbasedmultiwaveletdatacompressionalgorithmforwirelesssensornetworks
AT lanli dtwbasedmultiwaveletdatacompressionalgorithmforwirelesssensornetworks