计算机科学与探索 ›› 2019, Vol. 13 ›› Issue (5): 765-774.DOI: 10.3778/j.issn.1673-9418.1805020

• 学术研究 • 上一篇    下一篇

新型锁位式混合查询树射频识别防碰撞算法

南敬昌,樊  爽+,李  蕾,高明明   

  1. 辽宁工程技术大学 电子与信息工程学院,辽宁 葫芦岛 125105
  • 出版日期:2019-05-01 发布日期:2019-05-08

New Lock-Bit Hybrid Query Tree Radio Frequency Identification Anti-Collision Algorithm

NAN Jingchang, FAN Shuang+, LI Lei, GAO Mingming   

  1. College of Electronics and Information Engineering, Liaoning Technical University, Huludao, Liaoning 125105, China
  • Online:2019-05-01 Published:2019-05-08

摘要: 针对无线射频识别技术系统中标签碰撞产生的时隙过多和通信复杂度高等问题,在二叉树和四叉树查询树防碰撞算法的基础上,利用对碰撞位锁位和预测子节点的方法,提出一种新型锁位式混合查询树(novel lock-bit hybrid query tree,NLHQT)算法。该算法通过锁位指令提取碰撞位信息,并针对提取出的碰撞位信息进行预测,在减少碰撞时隙的同时,通过预测使阅读器产生新的查询前缀,从而避免了空闲子节点的产生。仿真结果表明,与现有的锁位式树形结构(regressive lock-adaptive multi-tree search,RLAMS)和改进的混合查询树(improved hybrid query tree,IHQT)防碰撞算法相比,该算法在减少总时隙数和通信复杂度方面更为有效,能够有效提高识别标签的效率。

关键词: 射频识别(RFID), 防碰撞算法, 查询树, 锁位, 预测指令

Abstract: Aiming at the problem of too many timeslots and high communication complexity caused by tag collisions in wireless radio frequency identification technology systems, on the basis of binary and quadruple number query tree anti-collision algorithms, the use of collision bit locks and prediction of sub-nodes methods, a novel lock-bit hybrid query tree (NLHQT) algorithm is proposed. The algorithm extracts the collision bit information through the lock bit instruction and predicts the extracted collision bit information. While reducing the collision time slot, the reader generates a new query prefix through the prediction, thus avoiding the idle child node being produced. The simulation results show that compared with the existing regressive lock-adaptive multi-tree search (RLAMS) and improved hybrid query tree (IHQT) anti-collision algorithms, the algorithm can effectively reduce the total number of slots and the communication complexity, and can improve the efficiency of tag identification.

Key words: radio frequency identification (RFID), anti-collision algorithm, query tree, lock position, prediction instruction