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《基于蟻群優(yōu)化算法的無(wú)線傳感器網(wǎng)絡(luò)路由算法研究》由會(huì)員上傳分享，免費(fèi)在線閱讀，更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫(kù)。
1、西南交通大學(xué)碩士學(xué)位論文基于蟻群優(yōu)化算法的無(wú)線傳感器網(wǎng)絡(luò)路由算法研究姓名：何武申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：計(jì)算機(jī)應(yīng)用技術(shù)指導(dǎo)教師：蔡淮20080501西南交通大學(xué)碩士研究生學(xué)位論文第1I頁(yè)AbstractWiththerapiddevelopmentofMEMS-basedsensortechnology,embeddedcomputingsystems，low-powerwirelesscommunicationshaveenabledthedevelopmentofrelativelyinexpensiveandlow-powerwireles
2、smicro·sensors，Hundredsorthousandsofthesemicro—sensorscanformself-organizednetwork—····-··WSN(WirelessSensorNetwork)whichcanplayn11importantroleinavarietyofcommercialandmilitaryapplications，suchasenvironmentalmonitoring，Industrymonitoringandsecuritysystems．Routinginsensornet
3、worksisverychallengingduetoseveralcharacteristicsthatdistinguishitfromcontemporarycommunicationandwirelessAdhocnetworks．Thesecharacteristics，suchasnoglobaladdressscheme，dynamictopology,extraordinarilylimitedresource，constrainthedevelopmentofroutinginWSN．Duetosuchdifferences，
4、manynewalgorithmshavebeenproposedforroutingdatainsensornetworkstheseyears．Someroutingprotocolsproposedbyoversearesearchersareanalyzedandcomparedinthepaperandonthebasisofassimilatingtheexcellentideaamongthem，animprovedroutingalgorithm，Ant—ColonyBasedRoutingAlgorithmofWSN，ispr
5、oposed．Usingthecharacteristicsofantcolonyoptimizationalgorithm--simplyeasytoberealized，localwork，integratingthejumpnumberintothePheromoneandsupportingmultiplepaths，designedwirelesssensornetworkroutingalgorithmbasedontheantcolonyoptimizationalgorithm．AntColonyOptimizationmeth
6、odsofself．organization，dynamicandmulti-pathmakeitparticularlysuitedtothecharacteristicsofwirelesssensornetworksforrouting．Onthebasisofdirecteddiffusionalgorithm，thispaperpresentedanAntColonyOptimizationroutingalgorithmofwirelesssensornetwork(ARAWSN)．Theroutingalgorithmisalow
7、cost，adaptability，andmulti·pathsupport，andotherfeatures．Simulationanalysisshowedthatcomparedtodirecteddiffusionalgorithm，attheaspectofaveragedelayinthetransmissionthisalgorithmissimilar，buttheaverageenergyconsumptioninthenetworkhasbeensignificantlyimproved．Inaddition，ARAWSNa
8、lgorithmalsohashighreliabilityandadaptability，etc．Also，throughadjustingpher
