无线传感器网络中分布式小波压缩

无线传感器网络中传感节点的资源十分有限,为了减少无线传感器网络在数据通信时的能量消耗,提出了基于提升格式的分布式小波数据压缩算法及其简化算法.这种方法一方面把整个小波变换所需的计算量分布于各个节点之中,通过简化消除额外的计算和数据传输,而且对于每个节点来说,计算量都很小,易于实现.另一方面又能有效地消除无线传感器网络中节点内和节点间的信息冗余,大大节省了无线传输所消耗的能量.仿真结果表明,与经典的方法相比,在能耗和重构信号质量上都获得了良好的效果.

Distributed Wavelet Compression in Wireless Sensor Networks

This paper proposed distributed and simplified distributed wavelet data compression algorithm basing on lifting factorization for reducing transmission energy consumption in wireless sensor network, where each of the sensors has limited power. This algorithm simplify the lifting scheme of traditional wavelet to eliminates extra transmissions and computation, distributed computation cost to every sensor node to reduces computation com-plexity in one node. On the other hand, it can exploit the inherent correlations that exist between sensor readings and significantly reduce transmission costs. The simulation results showed that the proposed method perform well in energy saving without sacrificing the quality of the data reconstruction.