南开14秋-证券投资学-在线作业

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1、节点信息重要程度耦合能耗联合判断机制的WSN关键点裁决算法　　摘要：针对现有的无线传感网络的关键点裁决过程中指标判定单一，判断过程复杂，难以改善区域内数据传输和汇聚性能的不足，提出节点信息重要程度耦合能耗联合判断机制的WSN关键点裁决算法。利用无线传感节点之间的层次关系，通过节点信息重要程度实现对节点与邻居节点的信息交互，获取该节点信息对整个网络关键程度的估计计算，并得到数字特征值；随后根据当前节点的能耗水平及节点与下层节点之间的关联，设计了能耗联合判断机制，结合数字特征值及节点发送数据的能耗增加量，最终获取关键点裁决因子，通过排序实现了传感网内关键点

2、的准确判断。仿真实验表明，与当前WSN关键点裁决算法相比，该算法挖掘了更多的裁决关键点数量，降低了对网络运行的性能影响，其网络拥塞发生时间更低，网络数据汇聚带宽总利用率与稳定运行时间更高关键词：无线传感网络；关键点裁决；节点信息重要程度；数字特征值；能耗联合判断机制；裁决因子中图分类号：TN711?34；TP393文献标识码：A文章编号：1004?373X（2016）21?0015?06WSNkeypointdecisionalgorithmbasedonnodeinformationimportancedegreeandenergyconsumpti

3、onjointjudgmentmechanismZHANGJicheng1，HUANGXiangdang2，YANGQiuling2（1.YangtzeUniversityCollegeofTechnology&Engineering，Jingzhou434020，China；2.CollegeofInformationScienceandTechnology，HainanUniversity，Haikou570228，China）Abstract：Sincethekeypointdecisionoftheavailablewirelesssensor

4、network（WSN）hasunifieddecisionindicatorandcomplexdecisionprocess，anditisdifficulttoimprovetheinsufficientofdatatransmissionandconvergenceperformanceintheregion，anewWSNkeypointdecisionalgorithmbasedonnodeinformationimportantdegreeandenergyconsumptionjointjudgmentmechanismispropos

5、ed.Thehierarchicalrelationshipamongthewirelesssensornodesandnodeinformationimportantdegreeareusedtorealizetheinformationinteractionofcurrentnodeandneighbornode.Thenodeinformationisacquiredtoestimateandcalculatethecriticalityofthewholenetwork，andobtainthenumericalcharactervalue.A

6、ccordingtotheenergyconsumptionlevelofcurrentnodeandcorrelationbetweencurrentnodeandunderlayernode，theenergyconsumptionjointjudgmentmechanismwasdesigned.Incombinationwiththeenergyconsumptionincrementofnodesendingdataandnumericalcharactervalue，thekeypointdecisionfactorisacquired.T

7、hesensornetworkkeypointisjudgedaccuratelywithsorting.Theresultsofsimulationexperimentshowthat，incomparisonwiththeavailableWSNkeypointdecisionalgorithm，theproposedalgorithmminedmorekeypointquantityfordecision，reducedtheperformanceinfluenceonnetworkoperationandnetworkcongestionocc

8、urrencetime，andimprovedthewholebandwidthutiliza