Improvement of an Identified Slot Sacn-Based Active RFID Tag Collection Algorithm 


Vol. 38,  No. 3, pp. 199-206, Mar.  2013


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  Abstract

This paper proposes a modified tag collection algorithm that improves the drawback of the identified slot scan-based tag collection algorithm presented in a previous paper to improve the tag collection performance in active RFID systems. The previous identified slot scan-based tag collection algorithm is optimized in situations where all the tags store the fixed size of data, so it could not result in a good performance improvement with tags having the variable size of data. The improved tag collection algorithm proposed in this paper first collects the slot size information required for the data transmission from each tag via the identified slot scan phase, and then performs the tag collection phase using the information, which resolves the problem of the previous identified slot scan-based tag collection algorithm. The simulation results for performance evaluation showed that the proposed tag collection algorithm resulted in the almost same tag collection performance as the previous algorithm when all the tags have the same size of data and led a large improvement of the tag collection performance in ISO/IEC 18000-7 unlike the previous algorithm when each tag has a random size of data.

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  Cite this article

[IEEE Style]

W. Yoon, "Improvement of an Identified Slot Sacn-Based Active RFID Tag Collection Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 3, pp. 199-206, 2013. DOI: .

[ACM Style]

Won-Ju Yoon. 2013. Improvement of an Identified Slot Sacn-Based Active RFID Tag Collection Algorithm. The Journal of Korean Institute of Communications and Information Sciences, 38, 3, (2013), 199-206. DOI: .

[KICS Style]

Won-Ju Yoon, "Improvement of an Identified Slot Sacn-Based Active RFID Tag Collection Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 3, pp. 199-206, 3. 2013.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880