Adaptive frame on binary splitting for radio frequency identification anticollision
作者： Yuan-Cheng Lai , Ling-Yen Hsiao
DOI: 10.1002/DAC.2427
关键词:
摘要: SUMMARY In many radio frequency identification applications, the reader must repeatedly identify same staying tags. Existing anticollision protocols, adaptive binary splitting (ABS) and query tree, can rapidly tags by remembering order in which were recognized previous process. This paper proposes a novel protocol called frame ABS (AFA), based on ABS. AFA utilizes dynamic regulation approach that estimates numbers of newly-arriving optimally adjusts slots allocated for them to reduce idle when leave collision enter. Following process, multiple may share slot cause among them. Thus, an efficient ordering is proposed deterministically split collided according they recognized. The analytical simulation results show outperforms most considered environments. Copyright © 2012 John Wiley & Sons, Ltd.
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