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	RFID data cleaning based on Adaptive Window
	Lingyong Meng; Fengqi Yu
	2010
会议名称	2010 2nd International Conference on Future Computer and Communication, ICFCC 2010
英文摘要	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
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/2785]
专题	深圳先进技术研究院_集成所
作者单位	2010
推荐引用方式 GB/T 7714	Lingyong Meng,Fengqi Yu. RFID data cleaning based on Adaptive Window[C]. 见:2010 2nd International Conference on Future Computer and Communication, ICFCC 2010.

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