Documento de conferencia

Using non-uniform probability distribution p* to improve identification performance in dense rfid reader environments

Conference Proceeding cp
Proceedings - 7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2013
  • Fecha: 17 octubre 2013
  • Páginas: 468-471
  • ISBN: 9780769549743
  • Tipo de fuente: Ponencia
  • DOI: 10.1109/IMIS.2013.84
  • Tipo de documento: Documento de conferencia
This paper proposes the use of the non-uniform probability distribution function to improve the performance of passive UHF RFID systems with several readers. In a previous work, the authors proposed GDRA, a mechanism based on the NFRA protocol where the readers used a truncated geometric distribution function to select a contention slot, instead of the typical uniform distribution function. Results showed that GDRA increased the RFID system performance but, this improvement could be higher if the optimal non-uniform probability distribution function is used. In This was not possible due to the inability of readers to calculate the number of (interfering) neighboring readers, a necessary parameter to apply it. This work solves this issue, using a mechanism where readers calculate the average number of neighboring readers through a simple formulation extracted from graph theory unit disk applied to wireless sensor networks. © 2013 IEEE.

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