| 传感器网络中基于区间小波变换的混合熵数据压缩算法 |
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| 引用本文： | 王雷,周四望,陈治平,林亚平.传感器网络中基于区间小波变换的混合熵数据压缩算法[J].计算机应用,2005,25(7):1676-1678. |
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| 作者姓名： | 王雷 周四望 陈治平 林亚平 |
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| 作者单位： | 1.福建工程学院 计算机与信息科学系，福建 福州 350014；
2.湖南大学 计算机与通信学院，湖南 长沙 410082 |
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| 基金项目： | 湖南省自然科学基金资助项目(03JJY3098) |
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| 摘 要： | 考虑传感器网络的数据特性及小波变换在流数据压缩方面的良好性能，提出了一种基于区间小波变换的混合熵数据压缩方法。理论分析和仿真结果表明，结合传统的DC(Data Centric)算法-DD (Directed Diffusion)路由算法，新算法能对传感器网络中的数据流进行有效压缩，可更大程度地降低DD路由算法下节点数据传输的能耗，从而可进一步延长整个网络的生命周期。
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| 关 键 词： | 传感器网络 数据压缩 区间小波变换 熵 |
| 文章编号： | 1001-9081(2005)07-1676-03 |
| 收稿时间： | 2004-12-30 |
| 修稿时间： | 2005-02-28 |
Data compression algorithms based on wavelet transforming for sensor networks |
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| WANG Lei,ZHOU Si-wang,CHEN Zhi-ping,LIN Ya-ping.Data compression algorithms based on wavelet transforming for sensor networks[J].journal of Computer Applications,2005,25(7):1676-1678. |
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| Authors: | WANG Lei ZHOU Si-wang CHEN Zhi-ping LIN Ya-ping |
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| Affiliation: | 1. Department of Computer and Information Science, Fujian University of Technology; 2. College of Computer and Communication, Hunan University |
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| Abstract: | According to the data characteristics in sensor networks and the good performances of wavelet transforming in data stream compression, a novel mixed -entropy data compression algorithm based on interval wavelet transforming was proposed for sensor network. Theoretical analysis and simulation results show that, the new method can compress the data stream for sensor networks effectively, and reduce the energy costs of nodes in data transferring. So, it can prolong the lifetime of the whole networks to a greater degree combined with those traditional DC (Data Centric) routing algorithms such as DD (Directed Diffusion) protocol. |
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| Keywords: | sensor networks data compression interval wavelet transforming entropy |
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