NDLI: Uma abordagem bidinâmica de baixo custo computacional para identificação rápida de etiquetas RFID

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Uma abordagem bidinâmica de baixo custo computacional para identificação rápida de etiquetas RFID

Content Provider	Semantic Scholar
Author	Santos, Shalton Viana Dos
Copyright Year	2017
Abstract	In RFID (Radio Frequency IDentification) systems, collisions may occur during the tag identification process when two or more tags answer to a request from the reader at the same time. A collision prevents the reader from receiving the data of the involved tags, which in turn reduces the efficiency of the tag identification process due to the additional delays incurred to resolve the transmission conflicts up to the reader finish identifying all the tags. The DFSA (Dynamic Framed Slotted ALOHA) is an access medium control protocol commonly used in RFID systems in order to solve the transmission conflicts. This protocol is used with an estimator for the number of tags to be identified. Traditionally, the frame size is dynamically adjusted based only on the value returned by the tag population estimator. We propose a different approach, namely dual dynamic, for the tag identification process. Our approch is doubly dynamic because it takes advantage of the dynamism of DFSA while using dynamic multiplicative factors for readjusting the specific value returned by the tag estimation method used. We evaluate our approach through simulation by using three different tag estimation methods. Time requirements of the communication channel are modelled in accordance with ISO 18000-6 Type C standard. The results show that our dual dynamic approach has low computational cost and allows to optimize the system by minimizing the tag identification time under all the tag estimation methods evaluated.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://repositorio.ufpe.br/bitstream/123456789/28010/1/DISSERTA%C3%87%C3%83O%20Shalton%20Viana%20dos%20Santos.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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