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1、ISSN1000-9825,CODENRUXUEWE-mail:jos@iscas.ac.cnJournalofSoftware,Vol.18,No.3,March2007,pp.669−680http://www.jos.org.cnDOI:10.1360/jos180669Tel/Fax:+86-10-62562563©2007byJournalofSoftware.Allrightsreserved.∗传感器网络中基于环模型的小波数据压缩算法11,2+111周四望,林亚平,张建明,欧阳竞成,卢新国1(湖南大学计算机与通信学院,湖南长沙410082)2(湖南大学软
2、件学院,湖南长沙410082)AWaveletDataCompressionAlgorithmUsingRingTopologyforWirelessSensorNetworks11,2+111ZHOUSi-Wang,LINYa-Ping,ZHANGJian-Ming,OUYANGJing-Cheng,LUXin-Guo1(CollegeofComputerandCommunication,Hu’nanUniversity,Changsha410082,China)2(CollegeofSoftware,Hu’nanUniversity,Changsha410082,
3、China)+Correspondingauthor:Phn:+86-731-8821932,E-mail:yplin@hnu.cnZhouSW,LinYP,ZhangJM,OuyangJC,LuXG.Awaveletdatacompressionalgorithmusingringtopologyforwirelesssensornetworks.JournalofSoftware,2007,18(3):669−680.http://www.jos.org.cn/1000-9825/18/669.htmAbstract:Wirelesssensornetworksu
4、suallyhavelimitedenergyandtransmissioncapacity,andtheycan’tmatchthetransmissionofalargenumberofdata.So,itisnecessarytoperformin-networkcompressionoraggregationoftherawdatasampledbysensors.Bydesigningaringtopology,thispaperproposesanalgorithmforwaveletbasedspatio-temporaldatacompressioni
5、nwirelesssensornetworks.Thealgorithmiscapableofsupportingabroadscopeofwaveletsthatcansimultaneouslyexplorethespatialandtemporalcorrelationsamongthesensorydata.Inthisalgorithm,thedatainsensornetworksareabstractedasamatrix,andthetemporalandspatialcorrelationisthencapturedbythecolumnandrow
6、wavelettransformrespectively.Theperformanceofthealgorithmisqualitativelyanalyzedfromtheviewpointsofenergyanddelay.Theoreticallyandexperimentally,itisconcludedthattheproposedalgorithmcaneffectivelyexplorethespatialandtemporalcorrelationinthesensorydataandprovideasignificantreductioninene
7、rgyconsumptionanddelay.Keywords:wirelesssensornetwork;ringtopology;wavelettransform;compression摘要:无线传感器网络有限的资源,如能量、通信带宽等,难以适应网络中大量数据的传输,需要在网络内部对原始监测数据进行压缩或聚合处理.设计了一个适合小波变换的环模型.针对任意支撑长度的小波函数,给出了一种基于环模型的分布式时-空小波数据压缩算法.该算法将传感器网络中的数据抽象为一个矩阵,将时间相关性与空间相关性映射为该矩阵的小波列变换与行变换,以同时挖掘传感器网络中数
