文章基本信息
- 标题：MPGA-Based Indoor Localization for Non Steady-State Gas Source
- 本地全文：下载
- 作者：QiumingLi ; ZhigangLiu ; Jin kuan Wang 等
- 期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
- 印刷版ISSN：2005-4254
- 出版年度：2016
- 卷号：9
- 期号：11
- 页码：353
- 出版社：SERSC
- 摘要：Traditionalgassourcelocalizationalgorithmsareusuallybasedongassteady-statediffusionmodelwhichignoresthefactorofthetime,itisdifficulttomeetthepracticalapplicationconditions.Inordertosolvethisproblem,weproposeaneffectivegassourcelocalizationmethodbasedmultiplepopulationgeneticalgorithm(MPGA)toestimatethelocationofgas-leakagesourceviawirelesssensornetwork.Inthispaper,wefirstbuildagasunsteady-statediffusionmodelwithoutwindbasedonthegasdiffusiontheory,andthenwetransferthegassourcelocationproblemintoaglobaloptimizationproblemwiththemeasuredinformationofsensornodes.Finally,weuseMPGAtosolvetheoptimizationproblemandobtainthelocationofthegassource.Thesimulationresultsshowthattheproposedmethodcanquicklyobtainthelocationofthegassource,andhasthehigherpositioningaccuracyascomparedwithtraditionlocalizationalgorithms.
- 关键词：Gas;source;location;wireless;sensor;netw;ork;gas;unsteady;-;state;diffusion;model;MPGA
