传感器网络数据压缩方法研究

《传感器网络数据压缩方法研究》由会员上传分享，免费在线阅读，更多相关内容在学术论文-天天文库。

1、杭州电子科技大学硕士学位论文上述算法针对无线传感网络应用中数据的时空冗余，分别从不同角度为提高无线传感器网络节点能量利用率，减小系统时延做了相应研究，从而以节点有限的能量，有限的计算能力最大限度地实现无线传感网络持久、及时、准确地获取被监测对象的相关信息。关键词：最优阶估计，近优分簇，局部梯度标记路由，随机优化策略lI杭州电子科技大学硕士学位论文ABSTRACTWiththedevelopmentofcomputerandcorrelativetechnologies，itisbecomingrealizablet

2、ointegratefunctionsofsensing,communicatingandcomputingintoatinymodulardevice．Sothedevelopmentandextensiveapplicationsofwirelesssensornetworkshavebeenacceleratedgreatly．PeopleCanobtaininformationaboutobjectiveworldthroughwirelesssensornetworksratherthansiteinve

3、stigation,whichexpandsthefunctionofexistingnetworksandimprovespeople’Sabilityofrecognizingtheworld．However,someproblemsarestillneededtoresearchandsolvebecauseofthespecificitiesofwirelesssensornetworks．Forthelimitsofcomputingability,storingcapacity,communicatio

4、nband，batterycapacityandtheexistenceofdataredundancy,itisindispensabletodesignsuitabledatacompressionalgorithmtoadaptabovementionedcharactersofwirelesssensornetworks．Thedataredundancynotonlyexistsindataobtainedbythesamenodeinsequentinstantsbutalsoexistsindatao

5、btainedbyadjacentnodesinthesameinstant．Ifnodesdirectlysenddatawhichincludesredundancy,thelimitedcommunicationbandandenergywon’tbeusedefficientlyandthedelayofsystemwillbeprolongedandtheabilityofthewholesystemwillbeaffectedseriously．Foreliminatingdataredundancyo

6、fwirelesssensornetworks，threenewkindsofalgorithmshavebeenproposedinthispaper．Thesealgorithmsaresummarizedasfollowing．1．Forreducingthecomplexityofcomputinginnodesandtheaverageenergycostofnodes，thealgorithmofdatacompressionforwirelesssensornetworksbaseonoptimalo

7、rderestimationanddistributedcodinghasbeenproposed．ThealgorithmCancomputecorrelationcoefficientsinsinkaccordingtotemporal-spatialcorrelationofdataandoptimalorderestimation．Nodesonlyneedtodomodulararithmeticoperationforcodingobtaineddata．Andthesinkcallrestoredat

8、aaccordingtocorrelationcoefficients．SotheredundancyofdatacanbereducedandtheaverageenergycostofnodesCanbedecreasedcorrespondingly．2．Respecttothetemporal—spatialredundancywhichexisti