摘要
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.
This paper proposed distributed and simplified distributive 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.Simplified lifting scheme,parallel and distributed computing is been introduced to eliminate extra transmissions and reduce computation complexity in every sensor node that wavelet transform needed.This approach 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.
出处
《传感技术学报》
CAS
CSCD
北大核心
2007年第11期2481-2486,共6页
Chinese Journal of Sensors and Actuators
基金
国家自然科学基金项目资助(60736021
60604029)
国家高技术研究发展计划项目资助(2006AA04Z184)
浙江省科技计划项目资助(2006C11066
2006C31051)
国家教育部博士点基金项目资助(20050335020)
关键词
无线传感器网络
数据压缩
分布式小波
提升格式
wireless sensor network
data compression
distributed wavelet
lifting scheme
