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Negative Binomial Distribution Based Reputation Direct Update for Wireless Sensor Networks.pdf
JOURNALOFELECTRONICSCIENCEANDTECHNOLOG VOL.9,NO.2,JUNE2011 16l
NegativeBinomialDistributionBasedReputation
DirectUpdateforW irelessSensorNetworks
ZheW ei,Meng-ShuHou,andFangW ang
Abstra —_In the reputation modeling ofwireless importanttoolsthathavebeen used inmany fieldslike
sensor networks (WSNs) many literatures have economicsand ecommerce.have been introduced into
proposed creativereputation indirectupdatemethods, W SNs.In agent-based trustand reputation management
such asreputation integration,discounting,aging to (ATRM),reputationisdefinedashteperceptionthata
eliminate, and filtering malicious reputation personhasofanother’sintentionandtrustisviewedas
information. However, few have discussed the beliefthatoneentitybelievesthattheotherwillactina
reputationdirectupdate.Inthispaper,basedonsound certainway .Thereputationmetricisconstructedbased
statisticaltheories,a negativebinominaldistribution onthestatisticalpropertiesorobservationconsistencyof
method in thereputation directupdate forW SNsis sensory data.W henasensornodeproducessensorydata
proposed.ResuItsshow thattheproposed method is withstatisticalpropertieshtataredeviatedfrom thenorm.
moresuitableandtime-savingofrthereputationupdate itsreputationisconsideredtarnished.accordingly。thisnode
oftheresourceconstraintW SNsand canimprovethe becomes lessturswtorthy .According to thisturstor
computationpoweref6leiencyaswel1. reputation mechna ism,notonly the performance and
/ndex TermsBeta distribution,negativebinomial robustnessofthenewtork can be enhanced,butalso a
distribution,reputation,wirelesssensornewt orks. stimulating effectofr cooperation amongnodescan be
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