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作者:

Zhao, Bin (Zhao, Bin.) | He, Jing-Sha (He, Jing-Sha.) (学者:何泾沙) | Huang, Na (Huang, Na.) | Qu, Hui-Fang (Qu, Hui-Fang.) | Liu, Gong-Zheng (Liu, Gong-Zheng.)

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摘要:

The anti-collision technology is a key technology in the radio frequency identification (RFID) system. In order to avoid the low efficiency problem of reading massive data labels via the binary-tree search algorithm, by analyzing the character of mass data and the regularity of tags encoding, a flat-N-tree search anti-collision algorithm is proposed according to the regularity of massive data tags encoding and the principle of binary-tree search algorithm in the management systems, which is suitable for reading massive data RFID labels. The result shows that the reading efficiency of the multi-tree search algorithm is better than that of the binary-tree search algorithm when the total quantity of tags is greater than a certain value. ©, 2014, Beijing University of Posts and Telecommunications. All right reserved.

关键词:

Binary trees Collision avoidance Efficiency Encoding (symbols) Information management Learning algorithms Metadata Radio frequency identification (RFID) Radio waves Search engines Signal encoding Trees (mathematics)

作者机构:

  • [ 1 ] [Zhao, Bin]School of Software Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Zhao, Bin]Department of Computer Science, Jining University, Qufu; Shandong; 273155, China
  • [ 3 ] [He, Jing-Sha]School of Software Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [He, Jing-Sha]Low-Carbon Research Center, Beijing Development Area Co., Beijing; 100176, China
  • [ 5 ] [Huang, Na]School of Software Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Qu, Hui-Fang]Department of Computer Science, Jining University, Qufu; Shandong; 273155, China
  • [ 7 ] [Liu, Gong-Zheng]School of Software Engineering, Beijing University of Technology, Beijing; 100124, China

通讯作者信息:

  • [zhao, bin]department of computer science, jining university, qufu; shandong; 273155, china;;[zhao, bin]school of software engineering, beijing university of technology, beijing; 100124, china

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来源 :

Journal of Beijing University of Posts and Telecommunications

ISSN: 1007-5321

年份: 2014

期: 5

卷: 37

页码: 50-55

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

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