Abstract
In recent large scale deployment of active RFID systems has been introduced by many applications, but a variety of critical issues remain unresolved. Especially, the impact of collision is the most essential problem. In this paper, we propose a Learning-based Dynamic Framed Slotted ALOHA algorithm (LDFSA) which mitigates collision from the active RFID tags and complies with international standard, ISO/IEC 18000-7. In addition, this paper includes the performance evaluations of the proposed LDFSA algorithm with the conventional algorithms. According to the result, the proposed LDFSA algorithm shows better performance than other conventional algorithms.
“This work was supported by the Korea Research Foundation Grant funded by the Korean Government(MOEHRD)” (The Regional Research Universities Program/Research Center for Logistics Information Technology).
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Cho, H., Lee, W., Baek, Y. (2007). LDFSA: A Learning-Based Dynamic Framed Slotted ALOHA for Collision Arbitration in Active RFID Systems. In: Cérin, C., Li, KC. (eds) Advances in Grid and Pervasive Computing. GPC 2007. Lecture Notes in Computer Science, vol 4459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72360-8_55
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DOI: https://doi.org/10.1007/978-3-540-72360-8_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72359-2
Online ISBN: 978-3-540-72360-8
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