›› 2016, Vol. 29 ›› Issue (4): 24-.

• 论文 • 上一篇    下一篇

基于自适应滑动窗口的RFID漏读数据清洗算法

褚天,潘金满,杜磊   

  1. (1.军事交通学院 研究生管理大队,天津 300161;2.军事交通学院 基础部,天津 300161)
  • 出版日期:2016-04-15 发布日期:2016-04-26
  • 作者简介:褚天(1989—),男,硕士研究生。研究方向:交通信息工程及控制。潘金满(1984—),男,硕士研究生。研究方向:交通信息工程及控制。

RFID Missing Data Cleaning Algorithm Based on Adaptive Sliding window

CHU Tian,PAN Jinman,DU Lei   

  1. (1.Postgraduate Training Brigade,Military Transportation University,Tianjin 300161,China;
    2.General Courses Department,Military Transportation University,Tianjin 300161,China)
  • Online:2016-04-15 Published:2016-04-26

摘要:

RFID标签数据漏读问题普遍存在于RFID系统的应用中,为确保RFID数据的准确性,必须对原始数据进行清洗。针对当前最有效的滑动窗口清洗算法SMURF中存在的标签动态性检测的缺陷,文中在提出的改进算法中引入了标签概率运动模型进行判定,算法能准确检测到标签动态变化,并在窗口大小设置上更为合理。实验结果表明,文中所提出的算法比SMURF算法产生的平均错误数减少51%,性能更加优越。

关键词: RFID, 漏读, 数据清洗, 滑动窗口, 标签运动

Abstract:

The original RFID data must be cleaned to ensure the accuracy of data due to the problem of RFID missing data in reading.In view of problems that exist in the SMURF,which is the most effective cleaning algorithm based on slidingwindow in the current,this paper proposes an improved algorithm for accurately detecting the tag's dynamic changing with a more reasonable mechanism to set slidingwindow.The experimental results show that the proposed algorithm enjoys fewer errors and better performance than the SMURF algorithm during the cleaning.

Key words: RFID;missing data in reading;data cleaning;sliding window;tag motion

中图分类号: 

  • TP391