一种不确定RFID数据流清洗策略

Uncertain RFID Data Stream Cleaning Strategy

原始RFID数据流含有大量噪声且具有不确定性,必须在使用之前对其进行数据清洗,而清洗策略是清洗质量的保证。提出一种适合不确定RFID数据流的清洗策略。该清洗策略引入了最大熵原理,对待清洗的RFID元组的特征属性进行权重选择,并根据清洗节点的时间消耗以及误差进行清洗成本分析,决策出最佳的清洗方法。仿真实验结果表明,该清洗策略提高了不确定RFID数据流的清洗效率与精度。

The original RFID data stream contains a lot of noise and uncertainty,so the data must be cleaned before using and the cleaning strategy is the guarantee of the quality of the cleaning.In this paper,a new method for cleaning the RFID data stream was proposed.The maximum entropy principle is introduced in the cleaning strategy,and this treat cleaning RFID tuple attributes to select weights.the cleaning cost analysis is performed according to the cleaning node time-consuming and error to decide the best cleaning method.Simulation experiment results show that this cleaning strategy improves the cleaning efficiency and accuracy of the RFID data stream.