基于群智能优化技术的无线传感网分簇路由算法分析

基于群智能优化技术的无线传感网分簇路由算法分析

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时间:2018-12-01

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1、-------AbstractAsanewkindofinformationacquisitionandprocessingmode,wirelesssensornetwork(WSN)hasbecomearesearchfocusathomeandabroad.Becauseofthelimitationofenergyofthesensornodeitself,theperformanceofroutingalgorithmhasanimportantinfluenceforWSN.Thismainstudiedfocusofthepaperisclusteringrout

2、ingalgorithmforWSN,andtheclusteringandroutingmechanismistwoimportantresearchcontentsofclusteringroutingalgorithmforWSN.Theformerisresponsiblefortheoptimizationofnetworktopologicalstructure.Itisfocusontheoptimizationofthenumberofclusterheadsandreasonableconfigurationelementsoftheclusterheads.

3、Thelaterisfocusonthebestroutetotransmitthecollecteddatatobasestation.Goodclusteringandroutingmechanismcaneffectivelybalancethenetworkenergyconsumption,increasethelifecycleofthenetwork.(1)Thepaperproposestheimprovedparticleswarmalgorithm(IBPSO)onthebasisofinthebasicparticleswarmoptimizational

4、gorithm(BPSO)whichimprovedtheinertiaweightandacceleratingfactor.ThealgorithmmainlymadetwoimprovedaspectscomparedwiththeBPSOalgorithm:Thespeedoftheparticlecanbeadjustedaccordingtothesituationofconvergencebyintrodutingindividualoptimalandglobaloptimalfactorininertiaweight;Intheviewoflossesofth

5、ediversityofpopulationinthelateiterationsonBPSOalgorithm,anditiseasyconvergencetothelocaloptimalsolution,theaccelerationfactorisimprovedandmakestheaccelerationfactorisnolongerafixedvalue,butaccordingtotheexperienceoftheparticleitselfmemoryandgroup'sroleinthemovementtomakedynamicadjustment,wh

6、ichaffectsthesizeoftheparticlevelocity.FunctiontestresultsshowthattheimprovedIBPSOglobalsearchabilityandconvergencespeedofthealgorithmhascertainimprovement.(2)InviewoftherandomnessofselectingclusterheadsoftheLEACHalgorithm,thepaperuseparticleswarmalgorithmtoimprovetheclusteringmechanism.Thep

7、aperproposesaheterogeneousclusteringalgorithmforWSNbasedonparticleswarmoptimizationalgorithm(PSO-CRA).Thealgorithmimprovethefitnessfunctionofarticleswarmalgorithmandconsidertheresidualenergyofnodes,thedistanceofnodeandnode,thedistancebetweennodesan

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