wsns中基于网络资源利用效率的层次型路由算法研究

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1、万方数据摘要估性能，仿真结果证实该算法在网络频带资源充分利用的同时，可实现最优的簇首匹配和路由建立结果。关键词：无线传感器网络；路由算法；跨层设计；混合整数非线性规划；频谱共享Ⅱ万方数据AbstractAsthemainsupportingtechnologyofInternetofThings,wirelesssensornetworkshaschangedthesensornetworks’informationacquisitionandprocessingmethods，whileithasreceivedwideaaent

2、ioninresearchandapplications．Sincewirelesssensornetworkshaveuniquepropertiessuchasnetworkcharacteristics，datatransmissionandcommunicationmodels，theapplicationanddevelopmentoftraditionalroutingalgorithmswasreslricted．Recently,duetothecross—layerdesignmethodissimpleandfl

3、exiblewhilebecauseofitsuniversallyapplicableforallnetworkarchitectureandapplicationenvironments，thecross-layerdesignapproachhasbeenwidelyusedinwirelesssensornetworks．WirelesssensornetworkshassomecommondesigngoalsfornetworkMAClayeGphysicallayerandnetworklayer．Basedonthe

4、cross-layerdesignthoughtintheprocessofcreatingarouteconsideringthenetworkinterferencebehaviorinMAClayer,linklayerrateallocationrelationshipsandnetworkresourceallocationmethod，theoverallperformanceofthenetwork，thispaperproposestheglobaloptimumroutingscheme．Thepapercanbe

5、dividedintothefollowingsections：(1)Theroutingalgorithminthispaperanalysisthestructuralcharacteristicsofthewirelesssensornetworkfirstly．Inwirelesssensornetworks，networklayerroutingasabridgeforcormectionlesstransportlayerandthedatalinklayer,ithasapivotalrole．Thispaperfro

6、mtheoverallperformanceofthenetwork，analyzesthefactorsthatinfluencethestructuralcharacteristicsandcreateanetworkroutingalgorithm．Then，establishanodemodelandassociatedroutingalgorithm，linkmodel，interferencemodelrespectively,whichwellpositionedfortheestablishmentofajointd

7、esigncross-layerroutingalgorithm．(2)OntheanalysisofphysicallayerandMAClayer,WeproposeaprobabilisticforwardingcontrolroutingalgorithmbasedOUtheinterferencebehavior．Basedoncross—layerdesign，analysisofwirelesssensornetworknodestransmitandreceivesideinterferencemodel，thisp

8、apercombinedwiththephysicallayerandMAClayercharacteristicsproposedaprobabilisticforwardingcontrolroutingalgorithmbase