Research on the Anti-Collision Techniques of Radio Frequency Network of Pasture

Hui Zhao; Ying Qiao Zhang; Hong Jun Wang; You Jun Yue

doi:10.4028/www.scientific.net/AMM.740.688

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 740Research on the Anti-Collision Techniques of Radio...

Research on the Anti-Collision Techniques of Radio Frequency Network of Pasture

Abstract:

To study the problem of the identification of multiple ear tags of cattle occur data collision in the RFID network of pasture, the experiment use an improved anti-collision algorithm, it is combined bit locking with dynamic and analysis method, only colliding bits are processed by the method of binary, during transmission the data are dynamic, only send known information, which receive complementary bits of the known information, and then analyze the performance of the algorithm and simulation. The results show that compare with traditional binary algorithm, the improved algorithm from the operating frequency, transmission delay, data throughput have obvious advantages, the improved algorithm that could solve the problem of data collision cause by the cattle those wear ear tags get into radio frequency region, improve the efficiency of the tag identification.

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Periodical:

Applied Mechanics and Materials (Volume 740)

Pages:

688-691

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.740.688

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Online since:

March 2015

Authors:

Hui Zhao*, Ying Qiao Zhang, Hong Jun Wang, You Jun Yue

Keywords:

Anti-Collision Algorithm, Binary, Ear Tag, Radio Frequency Identification

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* - Corresponding Author

References

[1] Bueno-Delgado, M.V.; Vales-Alonso, J.; Gonzalez-Castao, F.J.: Analysis of DFSA anti-collision proto-cols in passive RFID environments, " Industrial Electronics, 2009. IECON , 09. 35th Annual Conference of IEEE , vol., no., p.2610.

DOI: 10.1109/iecon.2009.5415261

Google Scholar

[2] Jung-Chin Hsieh; , 2013, 10: 39+41. EE , vo-l., no., p.309, 312, 9-15 June (2007).

Google Scholar

[3] Shengjie Hu, Shucai Wang, Electronic: Identification application in animal identification and management., 2007, pp.111-112.

Google Scholar

[4] Shenghu Wang: Radio frequency identification technology in the collision algorithm and authentication protocol research. Wuhan University of technology, (2008).

Google Scholar

[5] Zhiguo Ding: RFID research and implementation of key technologies, University of science and technology of China, (2009).

Google Scholar

[6] Xingyu Yuan, Bin Lu: Radio frequency identification collision technology improvement, Digital technology and application, 2013, 10: 39-41.

Google Scholar