RFID Anti-Collision Technology in Big Data Environment

Authors

  • Buying Chen Xingtai Polytechnic College

DOI:

https://doi.org/10.3991/ijoe.v14i05.8640

Keywords:

RFID, anti-collision, Tree-based algorithm, Manchester code

Abstract


Along with the rapid development of Web of Things, the RFID technology is widely applied in every field, but today, the great challenge we face is how to avoid information conflict and collision in the process of acquisition and treatment of massive information. It is the keystone of the study. This paper conducts a comparative analysis on different Tree-based algorithms as improved, and integrated with multiple sub-cycle response mechanism, a Multi-Response Collision Tree algorithm is proposed. And beyond that, this paper simulates and analyzed this algorithm and other improved ones. The results reveal that, compared to other algorithms, MRCT algorithm features a better performance, less recognition cycles, least query time slots on average, and ceiling throughput rate.

Author Biography

Buying Chen, Xingtai Polytechnic College

Chen Buying is a teacher from Information Engineering Department of Xingtai Polytechnic College in Xingtai, China. She was engaged as an associate professor in 2009 and her research area is computer science and technology.

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Published

2018-05-25

How to Cite

Chen, B. (2018). RFID Anti-Collision Technology in Big Data Environment. International Journal of Online and Biomedical Engineering (iJOE), 14(05), pp. 42–57. https://doi.org/10.3991/ijoe.v14i05.8640

Issue

Section

Papers