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》由会员上传分享，免费在线阅读，更多相关内容在学术论文-天天文库。

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