摘要
针对物联网技术中亟待解决的海量数据存储问题,提出了一种基于射频识别(RFID)的三层数据存储压缩模型。该模型将数据分为当前数据层、临时数据层和历史数据层,利用每一层中数据的特点分别设计了相应的数据汇总算法,最终实现RFID数据的压缩存储。在该模型的基础之上,提出了针对路径的编码算法,用于对路径进行压缩存储。实验结果表明,该三层存储模型可以有效地压缩存储RFID数据,同时数据汇总算法具有较低的时间复杂度与较高的数据压缩比。
Concerning the problem of massive data storage in the technology of the Internet of things, this paper proposed a three-level Radio Frequency IDentification （RFID） data compression storage model. This model divided the data into the current level, the temporary level and the historical level. Corresponding data collection algorithm was designed for every level according to the features of data in each level. And a coding algorithm for paths based on the model was proposed to store the compressed paths. The experimental results show the three-level storage model can effectively store compression data, and demonstrate the algorithm of data gathering has higher data compression rate as well as lower time complexity.
出处
《计算机应用》
CSCD
北大核心
2012年第3期625-628,642,共5页
journal of Computer Applications
关键词
射频识别
海量数据
路径编码
数据压缩
三层存储模型
Radio Frequency IDentification （RFID）
massive data
path coding
data compression
three-level storage model
