摘要
在无线射频(RFID)广泛应用过程中产生海量数据,由于其数据与一般数据存在差异而且占用较大的存储空间,所以对RFID数据的存储问题亟待解决.对此首先对车联网(IOV)收集的RFID路径数据从地点维和时间维两方面进行了预处理,之后采用改进的LZW方法进行压缩存储,对阈值的判断方法进行改进,从而高效地完成RFID路径数据的压缩存储.实验结果表明,该算法达到了路径数据存储占用较少空间的目的,同时也为以后的路径数据挖掘工作打下良好的基础.
As the wide application of Radio Frequency Identification（RFID）, the massive amount of data generates in the process, but it is different from ordinary data and also occupies a great deal of storage space. Therefore,the RFID data storage problems need to be solved. Based on the above, the essay illus- trates the core view of the article from two steps. First, the RFID path data which are collected by lnternet of vehicle will be preprocessed from place and time dimension. Then, the improved LZW method will be a- dopted. The key point in the paper is used to improve the judgment of threshold value, consequently to om- plete the compression and storage of RFID data efficiently. The experiment results show this method a- chieves the purpose of compression and preservation of RFID path data effectively. It also lays a solid foun- dation for the mining of path data in the future.
出处
《兰州交通大学学报》
CAS
2013年第6期36-40,共5页
Journal of Lanzhou Jiaotong University
关键词
射频识别
路径信息
数据压缩
LZW算法
Radio Frequency Identification（RFID）
path information
data compression
LZW algorithm
