首页> 外文期刊>Mathematical Problems in Engineering >Merged Search Algorithms for Radio Frequency Identification Anticollision
【24h】

Merged Search Algorithms for Radio Frequency Identification Anticollision

机译:射频识别防撞合并搜索算法

获取原文
获取原文并翻译 | 示例

摘要

Nowadays, the Radio Frequency Identification (RFID) system enables the control of many devices over an open communication infrastructure ranging from a small home area network to the global Internet. Moreover, a variety of consumer products are tagged with remotely low-cost readable identification electromagnetic tags to replace Bar Codes. Applications such as automatic object tracking, inventory and supply chain management, and Web appliances were adopted for years in many companies. The arbitration algorithm for RFID system is used to arbitrate all the tags to avoid the collision problem with the existence of multiple tags in the interrogation field of a transponder. A splitting algorithm which is called Binary Search Tree (BST) is well known for multitags arbitration. In the current study, a splitting-based schema called Merged Search Tree is proposed to capture identification codes correctly for anticollision. Performance of the proposed algorithm is compared with the original BST according to time and power consumed during the arbitration process. The results show that the proposed model can reduce searching time and power consumed to achieve a better performance arbitration.
机译:如今,射频识别(RFID)系统可以通过开放的通信基础设施控制许多设备,这些通信基础设施从小型家庭局域网到全球Internet。此外,各种消费产品都标有远程低成本的可读识别电磁标签,以代替条形码。许多公司采用自动对象跟踪,库存和供应链管理以及Web设备等应用程序已有多年。 RFID系统的仲裁算法用于对所有标签进行仲裁,以避免在应答器的查询字段中存在多个标签而造成的冲突问题。对于多标签仲裁,一种称为二进制搜索树(BST)的拆分算法是众所周知的。在当前的研究中,提出了一种称为“合并搜索树”(Merged Search Tree)的基于拆分的模式,以正确捕获标识代码以防冲突。根据仲裁过程中消耗的时间和功率,将所提算法的性能与原始BST进行比较。结果表明,该模型可以减少搜索时间和功耗,以实现更好的性能仲裁。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2012年第4期|p.609035.1-609035.20|共20页
  • 作者单位

    Department and Graduate School of Computer Science, National Pingtung University of Education, No. 4-18, Ming Shen Road, Pingtung 90003, Taiwan;

    Institute of Maritime Information and Technology, National Kaohsiung Marine University, Kaohsiung City 80543, Taiwan,Global Earth Observation and Data Analysis Center (GEODAC), National Cheng Kung University, No 1, Ta-Hsueh Road, Tainan 701, Tahvan;

    Department and Graduate School of Computer Science, National Pingtung University of Education, No. 4-18, Ming Shen Road, Pingtung 90003, Taiwan;

    Department and Graduate School of Computer Science, National Pingtung University of Education, No. 4-18, Ming Shen Road, Pingtung 90003, Taiwan;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号