计算机应用与软件Issue(12)：147-150,4.DOI:10.3969/j.issn.1000-386x.2013.12.039
一种基于模糊理论的蒙特卡洛移动节点定位算法
A MCL MOBILE NODE LOCALISATION ALGORITHM BASED ON FUZZY THEORY
摘要
Abstract
Mobile node localisation is one of crucial technologies in wireless sensor networks .Aiming at the defects of Monte Carlo local-isation ( MCL) algorithm in mobile node localisation that the demand of samples amount is big , locating accuracy is low , and locating time is relatively long , we propose a new localisation algorithm F-MCL, which improves MCL mobile node localisation based on fuzzy theory .By the fuzzification of the node signal energy value and the precision of the filtering conditions we make up the deficiency of MCL .Simulation experi-ment shows that the proposed F-MCL algorithm shortens the time required for the localisation about 58.6%compared with the traditional MCL algorithm, and improves the precision of localisation about 37%than MCL.关键词
无线传感器网络/移动节点定位/蒙特卡洛算法/模糊理论Key words
WSN/Mobile node localisation/MCL/Fuzzy theory分类
信息技术与安全科学引用本文复制引用
李建坡,时明,谢岩,隋吉生..一种基于模糊理论的蒙特卡洛移动节点定位算法[J].计算机应用与软件,2013,(12):147-150,4.基金项目
吉林省教育厅“十一五”科学技术研究项目（吉教科合字［2010］第76号）；东北电力大学研究生创新基金课题。 （）
