泊松分布下無線傳感器網(wǎng)絡多目標覆蓋控制

1、泊松分布下無線傳感器網(wǎng)絡多目標覆蓋控制收稿日期:20130118;修回日期:20130224?；痦椖浚罕本┦薪逃瘑T會共建項目。徐奕昕（1990-）,女，江西景德鎮(zhèn)人，碩士研究生，主要研究方向：無線傳感器網(wǎng)絡；白焰（1954-）,男，遼寧沈陽人，教授，博士生導師，主要研究方向：智能系統(tǒng)、工業(yè)現(xiàn)場總線、無線傳感器網(wǎng)絡；趙天陽（1989-）,男，河南南陽人，碩士研究生，主要研究方向：電動汽車、電力系統(tǒng)分析；王仁書（1986-）,男，福建福州人，博士研究生，主要研究方向：無線技術在工業(yè)控制系統(tǒng)中的應用。針對無線傳感器網(wǎng)絡中k重覆蓋率、能耗、可靠性難以協(xié)調的問題，在節(jié)點呈泊松分布的假設下，提出了多目

2、標優(yōu)化的覆蓋控制。針對多目標差分進化算法在種群初始化、參數(shù)控制和種群維護中的不足，分別設計了種群正交初始化、參數(shù)自適應控制和動態(tài)種群維護策略，提出了改進的多目標差分進化（IDEM。）算法對模型進行求解。仿真結果表明，該控制策略能夠在達到81.2%的3重覆蓋率的同時有效降低能耗弁保障可靠性，IDEM0可以支配傳統(tǒng)算法76%勺Pareto前沿。該算法同樣適用于求解其他多目標問題。英文標題Multiobjectivecover過gecontrolinwirelesssensornetworkbasedonPoissondislnbllLion英文作者名XUYixin1*TBAIYanbZILWTia

3、nyang2,WANGRenshu1英文地址(1.SchoolofControlandComputerEngineering,NorthChinaElectricPowerUniversity,Beijing102206,China:Amultiobjectiveoptimizationcoveragecontrolwasproposedforsolvingtheintractableproblemofkcoveragercito,energyconsumptionandreliabilityinwirelesssensornetworksontheassumptionthatnodesare

4、inPoissondistribution.Inordertoovercometheshortcomingsofpopulationinitialization,parametercontrolandpopulationmaintcnEinccinmultiobjectivedifferentialevolutionalgorithm,theauthordesignedtacticsofswarmorthogonalinitialization,parameterselfadaptivecontrolanddynamicswarmmaintengineestrategyseparaLely;社

5、ndanimprovedmulLiobjectivedifferentialevolutionsalgoriT.hm(1DKMOJwasproposedtosolvethismodel.Theresultsshowthatthecontrolstrategycaneffectivelyachievethethreecoveragerateof81.2%,reducetheenergyconsumptioneffectively,andensurethereliability.Thisalgorithmcandominate76%Paretofrontsofthetraditionalalgor

6、ithmandbeappliedtothesolutionofothermultiobjectiveproblems.Amultiobjectiveoptimizationcoveragecontrolwasproposedforsolvingtheintractableproblemofkcoveragerate,energyconsumptionandreliabilityinwirelesssensornetworksontheassumptionthatnodewaspassiondistribution.Aimingtoovercomeshortcomingsofpopulation

7、initialization,parametercontrolandpopulationmaintcriH.nccinmultiobjectivedifferentialevolutionalgorithm,theauthordesignedtacticsofswarmorthogonalinitialization,parameterselfadaptivecontrolanddynamicswarmmaintenancestrategyseparately,andanimprovedmultiobjectivedifferentialevolutional<dg()rilhm(lDEMO)waspresentedtosolvethismodel.Theresultshowsthatthecontrolstrategycaneffectivelyachievethe3coverager過teof81.2%andreducetheenergyconsumptioneffectivelyensuringreliabilityinthemeantim