无线传感器网络二代小波压缩的性能分析与研究

Analysis and Research on Performance of Compression Algorithm Based on Lifting Scheme Wavelet Transform in WSN

能量的高效使用是无线传感器网络的首要设计目标,数据压缩能有效减少数据传输量及通信能耗,对延长网络寿命起着重要作用。针对无线传感器网络中的二代小波压缩算法对现有二代小波的选择侧重计算复杂度而忽略实际节能效果的情况,本文以3种不同类型的数据为样本,对常用的各类二代小波进行分析、比较及验证,结果表明在相同误差容限下,2/6小波相比其它各类二代小波具有更好的压缩效果及更大的能耗节省,更适用于无线传感器网络的应用。

In the design of WSN （Wireless Sensor Network）, how to use energy more effectively is the first design goal. Data compression can reduce the amount of data in the process of transmission, which leads to not only improve the collection efficien-cy, but also reduce the energy consumption of wireless communication. It is very important to prolong the life of the network. In the research of the data compression in WSN, compression algorithm based on lifting scheme wavelet transform focuses on compu-tational complexity and ignores the real energy saving effect when choosing wavelet transform. Aim at this situation, this paper, based on three different types of data as samples, analyzed all kinds of lifting scheme wavelet transform which is used commonly for data compression and compared the performance of saving energy. The results of validation show that under the same error tol-erance, the 2/6 wavelet has better compression effect and more energy savings compared to the other kinds of wavelet. This makes it more suitable for the application of data compression in WSN.