Title :
RFID data cleaning based on adaptive window
Author :
Meng, Lingyong ; Yu, Fengqi
Author_Institution :
Dept. of Integrated Electron., Chinese Acad. of Sci., Shenzhen, China
Abstract :
Data captured by RFID reader often has errors including false negatives, false positives, and duplicates. In order to provide reliable data to RFID application, it is necessary to clean the collected data. SMURF (Statistical Smoothing for Unreliable RFID data) is a recently proposed data cleaning method based on adaptive window. However it does not work well when tag moves rapidly. To solve the problem, we propose an improved algorithm based on adaptive window. Factors, such as reader communication range, reading frequency, velocity of tag movement, affect the data cleaning result. Our new algorithm considers these factors dynamically in determination of the size of slide window. A new method is also proposed to fill data. Simulation shows our approach deals with RFID data more efficiently and accurately.
Keywords :
data acquisition; data analysis; database management systems; integrated software; radiofrequency identification; RFED reader; RFID data cleaning; SMURF; adaptive window; data capturing; data reliable; duplicates; false negatives; false positives; slide window size; statistical smoothing for unreliable RFID data; Cleaning; Communications technology; Electrostatic precipitators; Frequency; Logistics; Radiofrequency identification; Smoothing methods; Supply chain management; UHF technology; Wireless communication; Data cleaning; RFID; Slide window;
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
DOI :
10.1109/ICFCC.2010.5497331