华中科技大学学报：自然科学版2012，Vol.40Issue(4)：13-18,6.
不确定RFID数据流上基于熵的数据推导方法
Entropy-based data interpretation method over uncertain streaming RFID data
摘要
Abstract
Owing to the uncertainties and the information gap in raw RFID（radio frequency identification） data,an entropy-based data interpretation method over uncertain RFID streams was proposed.Firstly a time-varying graph model supplemented with history RFID readings was employed to efficiently capture the states of tagged objects.Then an entropy-based method was used to estimate the most likely location and containment for each object.Both the false negatives and false positives could be handled with the proposed method.Finally,the parameters and evaluated the interpretation algorithm were turned with synthetic RFID data.Experimental results show that the method is efficient and scalable.关键词
不确定RFID数据流/时变图模型/基于熵/数据推导/RFID漏读/RFID交叉读Key words
uncertain RFID(radio frequency identification) data streams/time-varying graph model/entropy-based/data interpretation/RFID false negatives/RFID overlapped readings分类
计算机与自动化引用本文复制引用
聂艳明,李战怀..不确定RFID数据流上基于熵的数据推导方法[J].华中科技大学学报：自然科学版,2012,40(4):13-18,6.基金项目
国家自然科学基金资助项目 （）
