基于MBF的船联网RFID数据流清洗算法  

RFID Data Stream Cleaning Algorithm of Internet of Ships Based on MBF

作　　者：董辉[1] 马健[1] 方晓[1] 姚宏亮[2] DONG Hui;MA Jian;FANG Xiao;YAO Hongliang(Bozhou Vocational and Technical College,Bouzhou 236800,AnhuiChina;Schoolof Computerand Information,Hefei University of Technology,Hefei 230000,China)

机构地区：[1]亳州职业技术学院,安徽亳州236800 [2]合肥工业大学计算机与信息学院,安徽合肥230000

出　　处：《吉首大学学报（自然科学版）》2018年第4期20-24,共5页Journal of Jishou University(Natural Sciences Edition)

基　　金：国家自然科学基金资助项目(61673152);安徽省科技攻关计划项目(1501ZC03031);安徽省高校自然科学研究重点项目(KJ2016A493;KJ2015A417);安徽省高校振兴计划优秀青年人才支持计划项目(GXYQZD2016529);安徽省亳州市产业创新团队项目(亳组[2015]20号-2)

摘　　要：针对船联网RFID数据流因存在冗余数据而影响工作效率的问题,在传统布隆过滤器数据清洗算法的基础上构建了矩阵型布隆过滤器模型,提出了一种改进的布隆过滤器RFID冗余数据清洗算法.实验结果表明,数据流越大,算法的数据清洗效果越明显.Aiming at the problem that the redundant data in the radio frequency identification（RFID）data stream of internet of ship affect the work efficiency,this paper proposes a RFID redundant data cleaning algorithm based on improved Bloom Filter.The matrix Bloom Filter model is constructed based on the analysis of the traditional Bloom Filter,and the cleaning process of the redundant data is given based on this model.Simulation experiment shows that the larger RFID data flow,the more obvious the data cleaning effect.

关 键 词：船联网 射频识别 布隆过滤器 数据清洗 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]