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An Efficient Adaptive Anticollision Algorithm Based on 4-Ary Pruning Query Tree

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Listed:
  • Wei Zhang
  • Yajun Guo
  • Xueming Tang
  • Guohua Cui
  • Longkai Wu
  • Ying Mei

Abstract

In radio frequency identification system (RFID), the efficiency in which the reader identifies multiple tags is closely related to the methods to solve the collision of multiple tags. At present, a reasonable solution is the introduction of 4-ary query tree (or n -ary query tree) to reduce the collision time slots and additional query is used to decrease idle timeslots. The advantage of a 4-ary tree anti-collision algorithm is that it is able to reduce collision timeslots, but it also increases the idle timeslots. To reduce these excessive idle timeslots the 4-ary tree anticollision algorithm brings, an anti-collision algorithm based on adaptive 4-ary pruning query tree (A4PQT) is proposed in this paper. On the basis of the information of collision bits, some idle timeslots can be eliminated through pruning the 4-ary tree. Both theoretical analysis and simulation results support that A4PQT algorithm can significantly reduce recognition time and improve throughput of the RFID system.

Suggested Citation

  • Wei Zhang & Yajun Guo & Xueming Tang & Guohua Cui & Longkai Wu & Ying Mei, 2013. "An Efficient Adaptive Anticollision Algorithm Based on 4-Ary Pruning Query Tree," International Journal of Distributed Sensor Networks, , vol. 9(12), pages 848746-8487, December.
  • Handle: RePEc:sae:intdis:v:9:y:2013:i:12:p:848746
    DOI: 10.1155/2013/848746
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