Data preprocessing algorithm for better haar-based data compression in wireless sensor networks

被引：0
|
作者：
Nie, Yalin [1 ]
Liu, Sanyang [2 ]
Chen, Zhibin [3 ]
Qi, Xiaogang [2 ]
机构：
[1] School of Computer Science and Technology, Xidian University
[2] School of Mathematics and Statistics, Xidian University
[3] School of Microelectronics, Xidian University, Yanta District, Xi'an, Shaanxi
来源：
Sensor Letters | 2014年 / 12卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Data compression; Data preprocessing; Data smoothness; Haar wavelet; Wireless sensor networks;
D O I：
10.1166/sl.2014.3281
中图分类号：
学科分类号：
摘要：
Processing in-network data by Haar wavelet is an effective way to reduce data transmissions and reconstruct data with high precision for applications in wireless sensor networks. To improve the performance of data compression algorithms based on Haar wavelet in wireless sensor networks, a data preprocessing algorithm for better Haar-based data compression is proposed. It can gain data with good smoothness by a simple sorting mechanism while make the extra control overhead tolerable by two thresholds, which leads to (1) the more precise reconstructed data with proper extra control overhead or (2) the less compressed data under a given reconstruction precision requirement. Theory analysis and experiments proves its effectiveness. Copyright © 2014 American Scientific Publishers.
引用
收藏
页码：287 / 293
页数：6
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