| COMPUTER SCIENCE AND TECHNOLOGY |
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Multi-tag identification and collision avoidance with RFIDs in blood management |
| TIAN Chuan1, YE Xiaojun1, WANG Zuliang2, LI Xin3 |
1. College of Software, Tsinghua University, Beijing 100081, China;
2. Department of Electronic and Information Engineering, Xijing University, Xi'an 710123, China;
3. Academy of Armored Forces Engineering, Beijing 100072, China |
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Abstract The dynamic frame slotted ALOHA tag anti-collision Q algorithm in the EPCglobal_Class1 Gen2 protocol fails to remove empty slots, which leads to a waste of the slots. This is unacceptable in blood management which requires real-time handling and a large number of tags. A multi-tag identification and collision avoidance method was developed that divides the tag identification into two slot pre-assignments and tag identification. This helps eliminate empty slots in the Class1 Gen2 protocol which improves availability. Simulations of a blood management system indicate that this method significantly improves tag identification efficiency.
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| Keywords
radio frequency identification (RFID)
collisions avoidance
dynamic frame slotted ALOHA
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Issue Date: 15 November 2017
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2017,
Vol. 57
