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《Sink節(jié)點(diǎn)移動(dòng)的無(wú)線(xiàn)傳感網(wǎng)生存時(shí)間優(yōu)化算法.pdf》由會(huì)員上傳分享,免費(fèi)在線(xiàn)閱讀,更多相關(guān)內(nèi)容在行業(yè)資料-天天文庫(kù)。
1、第25卷第5期傳感技術(shù)學(xué)報(bào)V01.25No.52012年5月CHINESEJOURNALOFSENSORSANDACTUATORSMav2012LifetimeOptimizedAlgorithmwithMobileSinkNodeinWirelessSensorNetworksRENTiaojuan,YANGHaibo,CHENYourong(CollegeofInfi*rmationScienceandTechnology,ZhefiangShurenUniversity,Hangzhou310015,China)Abstrac
2、t:Toprolongthenetworklifetime,lifetimeoptimizedalgorithmwithmobileSinknode(LOAMSN)isproposed.TheconstraintconditionswithmobileSinknodesuchasflowbalanceconstraint,maximumtransmissionrateconstraintandnodeenergyconstraintareanalyzed.ThentheoptimizedlifetimeproblemiSformul
3、izedintooptimizedmode1.ThemobilemethodofSinknodeisproposed.Sinknodeusesthedegreevaluesofnodestoconstructthemobilepathandmovescircularlytocollectdatefollowingthepath.ThemobilityofSinknodeisconsideredasdiscretemovement.Therefore.theoptimizedlifetimemodelofmobileSinknodei
4、SdividedintoseveraloptimizedmodelsofstaticSinknode.EachoptimizedmodelofstaticSinknodeiSsolvedbyNewtonalgorithm.Finallytheoptimalvaluesofnetworkmaximumlifetimeandnodetransmissiondataamountareobtained.SimulationresultsshowthatLOAMSNalgorithmcanreducethenodeenergyconsumpt
5、ioninwhichpositionstheSinknodestays,andbalancenetworkload,theothernodes’energyconsumption,andprolongthemaximumnetworklifetime.Undercertainconditions,LOAMSNalgorithmoutperformsthealgorithmwhenSinknodeisstatic.Keywords:wirelesssensornetworks;networklifetime;optimizationm
6、ethod;mobilesinknodeEEACC:6150Pdoi:10.3969/j.issn.1004—1699.2012.05.024Sink節(jié)點(diǎn)移動(dòng)的無(wú)線(xiàn)傳感網(wǎng)生存時(shí)間優(yōu)化算法術(shù)任條娟,楊海波,陳友榮(浙江樹(shù)人大學(xué)信息科技學(xué)院,杭州310015)摘要:為提高網(wǎng)絡(luò)最大生存時(shí)間,提出Sink節(jié)點(diǎn)移動(dòng)的無(wú)線(xiàn)傳感網(wǎng)生存時(shí)間優(yōu)化算法(LOAMSN)。該算法分析Sink節(jié)點(diǎn)移動(dòng)時(shí)的流量平衡約束、最大傳輸速率約束、節(jié)點(diǎn)能耗約束等約束條件,將生存時(shí)間優(yōu)化問(wèn)題轉(zhuǎn)化成優(yōu)化模型。提出Sink節(jié)點(diǎn)的移動(dòng)方法,即Sink節(jié)點(diǎn)利用節(jié)點(diǎn)的度值構(gòu)建其移動(dòng)
7、路徑,按照此路徑循環(huán)移動(dòng)收集數(shù)據(jù)。將Sink節(jié)點(diǎn)的移動(dòng)認(rèn)為是離散運(yùn)動(dòng),Sink節(jié)點(diǎn)移動(dòng)的生存時(shí)間優(yōu)化模型分解成若干個(gè)Sink節(jié)點(diǎn)靜止的生存時(shí)間優(yōu)化模型.采用牛頓法求解每個(gè)Sink節(jié)點(diǎn)靜止的優(yōu)化模型,獲得網(wǎng)絡(luò)最大生存時(shí)間和節(jié)點(diǎn)發(fā)送數(shù)據(jù)量的最優(yōu)值。仿真結(jié)果表明:LOAMSN算法能減少Sink節(jié)點(diǎn)停留位置上的節(jié)點(diǎn)能耗,平衡網(wǎng)絡(luò)負(fù)載和節(jié)點(diǎn)能耗,提高網(wǎng)絡(luò)最大生存時(shí)間。在一定條件下,LOAMSN算法比Sink節(jié)點(diǎn)靜止時(shí)更優(yōu)。關(guān)鍵詞:無(wú)線(xiàn)傳感網(wǎng);生存時(shí)間;最優(yōu)化方法:移動(dòng)Sink節(jié)點(diǎn)中圖分類(lèi)號(hào):TP393文獻(xiàn)標(biāo)識(shí)碼:A文章編號(hào):1004—1699
8、(2012)05—0683—08網(wǎng)絡(luò)生存時(shí)間是衡量無(wú)線(xiàn)傳感網(wǎng)性能好壞的重外,如果還要實(shí)現(xiàn)有線(xiàn)網(wǎng)絡(luò)或無(wú)線(xiàn)網(wǎng)絡(luò)的安全性、多要指標(biāo)之一,也是無(wú)線(xiàn)傳感網(wǎng)的一個(gè)研究熱點(diǎn)。在大媒體、QoS保障等功能,都需要正常運(yùn)行的網(wǎng)絡(luò)和能部分隋況下無(wú)線(xiàn)傳感網(wǎng)的