Referenced Items are not available for this document.
Radio frequency identification (RFID) is a ubiquitous wireless technology which allows objects to be identified automatically. An RFID tag is a small electronic device with an antenna and has a unique serial number. For some RFID applications and in the ALOHA-based anticollision algorithms, the number of tags in the system needs to be estimated. In Trans. Autom. Sci. Eng., vol 6, no. 1, pp. 9-15, Jan. 2009, Chen, a probabilistic method for tag estimation in ALOHA-based RFID systems was proposed, based on the maximum a posteriori probability. Although this approach is novel and useful, it has a mathematical error in modeling the problem. In this short paper, we address this problem and provide the correct probabilistic model for the ALOHA-based RFID systems. Some consequences of correcting the error in Trans. Autom. Sci. Eng., vol 6, no. 1, pp. 9-15, Jan. 2009, Chen, are discussed and the model is validated via simulation. Using the correct model, the performance of the ALOHA-based anticollision algorithm can be improved.
Published in:
Automation Science and Engineering, IEEE Transactions on
(Volume:8
,
Issue:
3
)
Date of Publication: July 2011
- Page(s):
- 659 - 663
- ISSN :
- 1545-5955
- INSPEC Accession Number:
- 12141617
- Digital Object Identifier :
- 10.1109/TASE.2011.2138135
- Product Type:
- Journals & Magazines
- Date of Publication :
- 21 April 2011
- Date of Current Version :
- 04 July 2011
- Issue Date :
- July 2011
- Sponsored by :
- IEEE Robotics and Automation Society
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