Journal on Communications ›› 2014, Vol. 35 ›› Issue (8): 86-94.doi: 10.3969/j.issn.1000-436x.2014.08.012

• Academic paper • Previous Articles     Next Articles

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

Si-wang ZHOU,Lan LI   

  1. College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China
  • Online:2014-08-25 Published:2017-06-29
  • Supported by:
    The National Natural Science Foundation of China;Program for New Century Excellent Talents in University;The Natural Science Foundation of Hunan Province

Abstract:

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.

Key words: wireless sensor network, DTW, wavelet, data compression

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