传感器网络中分布式最优小波压缩算法

Distributed data compression algorithm based on optimal wavelet transform for wireless sensor networks

研究传感器网络中的小波变换问题,提出了一种基于最优小波变换的分布式数据压缩算法。主要工作有:(1)提出基于混合分解的分布式小波变换,利用节点的计算能力减少节点间交换数据产生小波系数的通信开销;(2)提出自适应小波变换,最优变换级根据小波变换的压缩增益和由此产生的网络开销自适应确定。仿真实验表明,和现有的小波数据压缩算法以及非分布式方式相比,提出的算法具有更优的网络性能。

In this paper,a distributed data compression algorithm based on optimal wavelet transform is proposed.The main works include：（1）a hybrid decomposition based distributed wavelet transform is proposed.It can utilize the computation resource of nodes to decrease the communication overhead when wavelet coefficients are producing.（2）An adaptive wavelet transform is proposed.The optimal transforming level is decided adaptively according to the tradeoff between compression efficiency and corresponding overhead.Experimentally,it is concluded the proposed algorithm can obtain better performance comparing to non-distributed approach and the existing wavelet compression algorithms.