基于时间交替并行技术的网络不完整节点数据模糊采集

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关键词：不完整节点数据；C均值模糊聚类；数据采集；时间交替并行技术；失配误差；最优路径目标函数中图分类号：TN913.2-34 文献标识码：A 文章编号：1004-373X（2025)20-0035-05

Incompletenetworknodedatafuzzycollectionbased on TIADC

HETing,WUShandan,XINChunhua (Department ofComputer Technology,Inner Mongolia Agricultural University,Baotou O141O9,China)

Abstract：Amethodof incompletenetworknodefuzzydatacollctionbasedontime-interleavedanalog-to-digitalconverter (TIADC)isproposedtorealizeeicientandaccuratecoectionof incompletenodedatainnetworkenvironments.TheTADCis usedtocolectnetworkodedataatdiferenttimepointsbymeansofmultipleparallelanalog-to-digitalconverters(ADC)The samplingclockeroriscalibratedbasedontheanalysisofthemismatchingerrorof thesamplingdataresultstoimprovethe samplingrateof network nodedata.Thecolected incomplete nodedataisdividedbymeansofC-meansfuzzyclustering to partitioninthenetworknodedataandtheoptimalpathobjectivefunctionisconstructedbasedondividedincompletenodedata. Bysolvingtheoptimalpath,thefuzzycolectionofincompletenetworknodedataisrealized.Theexperimentalanalysisresults showthatthe proposed methodcan efectivelyreducespurious signals,significantlyimprovesystem spectrumpurityandoveal performance,andcanachieveprecisefuzzyclusteringofincompletenetwork nodedata.Theredundancyof incompletenodedata collection is relatively low and is maintained below 20% ，which can significantly enhance the effectiveness and usability of the data.

Keywords：incompletenodedata;Cmeanfuzzyclustering;datacolection;time-interleavedanalog-to-digitalconverter; mismatching error;optimal path objective function

0 引言

在网络环境中，受网络波动和通信冲突影响，常出现不完整节点数据1，这些数据对网络状态分析至关重要。（剩余10714字）