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Framed slotted ALOHA with grouping tactic and binary selection for anti-collision in RFID systems
Authors:WANG Ya-qi  JIANG Guo-ping  WANG Jing
Institution:Center for Control and Intelligence Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Abstract:9%-16.3% compared to other ALOHA-based tag anti-collision algorithms when the number of tags is 1 000.
Keywords:RFID  anti-collision  binary tree  identification efficiency
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