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1、小型微型計算機系統(tǒng)2014年10月第l0期JournalofChineseComputerSystemsVolJ35No.102014基于Moran過程的認知中繼網(wǎng)絡多策略信任演化模型鄒世辰,王慧強,馮光升,呂宏武(哈爾濱工程大學計算機科學與技術學院,哈爾濱150001)E—mail:zoushichen@hrbeu.edu.cn摘要:認知中繼網(wǎng)絡通過引入中繼傳輸,可以有效改善網(wǎng)絡通信的性能.為了提高認知中繼網(wǎng)絡系統(tǒng)的自適應性,改善網(wǎng)絡通信的整體質量,抑制網(wǎng)絡節(jié)點的自私行為,結合演化博弈理論提出一種
2、基于Moran過程的認知中繼網(wǎng)絡信任演化模型.首先建立認知中繼網(wǎng)絡信任演化基本框架,設計基于區(qū)分貢獻度的實體全局收益函數(shù),為信任演化模型的建立提供基礎,以增強信任演化模型的自適應性;然后提出一種Moran多策略信任演化模型,激勵信任策略的演化,以增強對信任演化預測的準確性.實驗結果表明,該模型能夠準確地反映認知中繼網(wǎng)絡中節(jié)點信任行為的特點,推動網(wǎng)絡節(jié)點行為向協(xié)同合作策略的演化,使節(jié)點實體的信任演化快速收斂到穩(wěn)定狀態(tài),以此提高網(wǎng)絡系統(tǒng)的可信度.關鍵詞:認知中繼網(wǎng)絡;區(qū)分貢獻度;動態(tài)演化;多策略;信任演
3、化中圖分類號:TP393文獻標識碼:A文章編號:1000.1220(2014)10-2209-06Multi-strategyTrustEvolutionModelforCognitiveRelayNetworkBasedonMoranProcessZOUShi—chen,WANGHui—qiang,F(xiàn)ENGGuang—sheng,LVHong—WU(CollegeofComputerScienceandTechnology,HarbinEngineeringUniversity。Harbin150
4、001。China)Abstract:Cognitiverelaynetworkcanimprovetheperformanceofnetworkcommunicationbyintroducingcognitiverelaytransmissionintonetwork.Combinedwithevolutionarygametheory,atrustevolutionmodelforcognitiverelaynetworkbasedonMoranprocessisproposedinorder
5、toimprovetheself-adaptiveperformanceandtheoverallqualityofcommunicationofnetworksystem,SOthatthenetworksystemCansuppressthegenerationofselfishnodeseffectively.Firstly,thecognitiverelaynetworktrustevolutionaryframe-workisestablished,providingaframeworkb
6、asisforestablishingofthetrustevolutionmode1.Thenanentityglobalrevenuefunctionbasedondividingcontributiondegreeisdesigned,SOastoenhancetheself-adaptiveperformanceofthetrustevolutionmode1.Finally。amulti—strategyMorantrustevolutionmodelisproposedtoinspire
7、theevolutionoftrustpolicy,enhancingtheaccuracyoftheforecastsfortheevolutionoftrust.ExperimentsresultsshowthatthemodelCanaccuratelyreflectthetrustbehavioralcharacteristicsofcognitiverelaynetworks,andeffectivelypromotethenetworknodebehaviorstrategyevolut
8、iontowardsthefiendofcooperation.Thetrustevolu—tionofnodeentitiesCanconvergenceandreachastablestatefast.ThemodelCanoptimizethecognitiverelaynetworktrustbenefits,thusimprovingtheoveralldependabilityofthenetworksystem.Keywords:cognitiverel