• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.3
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• pp.199-206
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• 2013

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.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.5B
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• pp.753-761
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• 2010

In this paper, we propose a novel tag collection algorithm to improve tag collection performance in active RFID systems. In the proposed algorithm, the reader detects the occurrence of empty slots and collided slots through the identified slot scan process and reduces the time wasted by empty slots and collided slots, resulting in improvement of tag collection performance. To evaluate the performance improvement by the proposed tag collection algorithm via the experiments in a real-world environment, we implemented an active RFID reader and tags. The experimental results with the reader and 60 tags showed that the proposed algorithm could reduce the average tag collection time by 21.7% and improve the average identification throughput by 28.3%, compared with the standard tag collection algorithm in ISO/IEC 18000-7. In addition, the proposed algorithm reduced the average battery consumption on tags by 22.7% in the battery consumption experiment with 20 tags.