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ID:31983793
大小:2.43 MB
页数:63页
时间:2019-01-30
《基于蚁群优化的ad+hoc网络路由》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、北京邮IU人学顾.I:研究生学位论义皋十蚁群优化的AdHoc嘲络路由在对蚁群优化算法进行仿真的基础上,根据对算法中的参数口,∥对算法全局性和收敛速度的分析,提出一种改进的蚁群优化路由算法,通过仿真表明该改进算法获得一定程度上的性能改进。分析目前大多数路由算法,大多都是以跳数最少作为选择标准,但是由于一条路径的局限性,因此第四章中提出一种基于节点剩余能量的蚁群优化路由算法,将节点剩余能量加入信息素更新中。通过仿真表明,基于剩余能量的蚁群优化路由算法能获得性能上的改进。关键词:AdHoc路由协议蚁群优化路由算法剩余能量111产1t。
2、l,卷一cr’.,ADHoCNETWoRKRoUTINGBASEDoNANTCoLoNYoPTIMIZATIoNABSTRACTWiththeIntemetandmobilecommunicationstechnologycontinuestoevolveandprogress,mobilecomputershavebecomeaveryactivetopicforthecurrentcommunicationsandcomputersciencetechnology.Adhocnetwork,asaspecialformofm
3、obilecomputernetwork,Canbewidelyusedinmilitarycommand,sensornetworks,anumberofemergencysituations,andpersonalcommunicationsnetwork·DuetothecharacteristicsofthefrequencyofthenodenetworkstructurecausedbythemovementdynamicsofAdhoenetworks,routingissuehasbecomeakeyresear
4、chandapplicationaswellasthedifficultiesofroutingprotocolisthecommunicationnetworkiSthemostcrucialandcentralissue.BasedonanalysisofthecharacteristicsofAdhocnetworks,studyofcommonroutingprotocols,Thispapersummarizetheexistingproblemsthatexistinroutingprotocols,andanaly
5、seant.colonyalgorithm,applyantcolonyoptimizationalgorithmtoroutingprotocols.Throughalargenumberoftheoreticalanalysisandthecorrespondingformuladerived,thecorrespondingalgorithmconcludeswithtwokindsofimprovements,throughsimulation,theimprovednetworkperformancecanenable
6、accesstoacertaindegreeofupgrading.Themainworkofthispaperisasfollows:1.StudyofAdHoebackground,includingmeAdHoecharacteristics,architectureandthecorrespondingkeytechnologies,whichfocusonkeytechnologiesintheroutingprotocols.2.ForAdHoeanalysisofcommonroutingprotocols,inc
7、ludingthetable_drivenprotocolsandon—demandroutingprotocols,includingthetable—drivenprotocolsareDSDVandtheERPagreements,demand.drivenagreementAODV,DSR,ABR,TORAagreement.3.Analysisofthebasicantcolonyoptimizationalgorithm,descriptionofantcolonyoptimizationalgorithm,andi
8、tsprincipleisanalyzedtostudytheantcolonyoptimizationalgorithmforTSPproblemintheapplicationofantcolonyoptimizationalgorithmdescribes
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