基于Haar小波的自适应数据压缩方法

Self-adaptive Data Compression Method Based on Haar Wavelet

在无线传感器网络中,传感器节点的通信带宽有限,节点输出数据量需要与之匹配。针对该问题,设计高频系数选择算法确定待传输的Haar小波系数选择、量化和编码,通过自适应调整数据压缩率控制输出数据量。理论分析与仿真结果表明,该方法可充分利用节点通信带宽,当温度和湿度数据压缩率为0.9时,数据重构均方差小于0.1。

In Wireless Sensor Network（WSN）, sensor node has limited communication bandwidth and the mount of node output data need match to it. Aiming at this problem, this paper designs a High frequency Coefficient Selection（HCS） algorithm to ensure Haar wavelet coefficient selection, quantizing and coding for transmitting, and self-adaptively adjusts the compression ratio to control the mount of output data. Theory analysis and simulation results show that this method can make fully use of communication bandwidth, and the Mean Square Error（MSE） of data reconfiguration is less than 0.1 when compression ratio of temperature and humid data is 0.9.