基于提升小波变换的无线传感器网络数据压缩算法研究

Xian-Li Li, Jiawei Zhang, Wei-Hong Fang
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引用次数: 4

摘要

针对无线传感器网络资源有限和数据传输冗余的问题,提出了一种基于提升小波变换的数据压缩算法,并进行了合理设计。该算法将提升小波变换所需的计算量分配到所有节点,消除了额外的计算和数据传输,降低了网络的信息冗余,大大节省了无线传输的能量,延长了网络的使用寿命。仿真结果表明,与基于传统小波变换的数据压缩算法相比,基于提升小波变换的数据压缩算法在不牺牲信号重构质量的前提下具有较好的节能效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The research of data compression algorithm based on lifting wavelet transform for wireless sensor network
Aiming at the limited resources and data transmission redundancy of WSN, this paper proposes a novel data compression algorithm based on lifting wavelet transform, gives the rational design. The algorithm distributes the computing quantity which the lifting wavelet transform requires to all nodes, eliminates extra computing and data transmission, reduces the information redundancy of network, greatly saves the energy of wireless transmission, prolongs network lifetime. The simulation results show that the data compression algorithm based on lifting wavelet transform performs well in energy saving without sacrificing the reconstruction quality of signal in comparing with the data compression algorithm based on traditional wavelet transform.
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