RFID data cleaning based on Adaptive Window
文献类型：会议论文
| 作者 | Lingyong Meng; Fengqi Yu |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：深圳先进技术研究院
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