基于RFID和WSN的仓库物资定位方法研究
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  • 英文篇名:Research on Warehouse Materials Positioning Method Based on RFID and WSN
  • 作者:尹章轩 ; 王雅君 ; 李勇
  • 英文作者:YIN Zhang-xuan;WANG Ya-jun;LI Yong;Dalian Polytechnic University;
  • 关键词:仓库物资 ; RFID技术 ; WSN技术 ; RSSI ; 定位算法
  • 英文关键词:Warehouse Materials;;RFID Technology;;WSN Technology;;RSSI;;Location Algorithm
  • 中文刊名:DNZS
  • 英文刊名:Computer Knowledge and Technology
  • 机构:大连工业大学;
  • 出版日期:2017-10-25
  • 出版单位:电脑知识与技术
  • 年:2017
  • 期:v.13
  • 语种:中文;
  • 页:DNZS201730104
  • 页数:6
  • CN:30
  • ISSN:34-1205/TP
  • 分类号:235-240
摘要
考虑到仓库环境复杂多变,造成定位精度不高,为有效地提高传统的基于RFID仓库物资定位算法的定位精度,提出了一种基于RFID技术与WSN技术融合的高斯权值校正RSSI质心定位算法。以RFID和WSN技术为基础,在传统的RSSI定位算法中引入高斯权值校正的三边质心组合定位算法,建立RFID与WSN的信号和算法数学转化模型,给出具体详细的算法步骤。对影响RSSI值的三个主要因素进行研究分析,并且使用MATLAB进行仿真测试分析,结果表明改进后算法的定位精度有显著提高,为仓库物资定位提供了一种新的方法和依据。
        Considering the complex and changeable warehouse environment, the positioning accuracy is not high, In order to improve the positioning accuracy of the traditional RFID based warehouse material positioning algorithm effectively, A Gauss weight correction RSSI centroid localization algorithm Based on RFID technology and WSN technology is proposed. Based on RFID and WSN technologies, Gauss centroid correction is applied to the three edge centroid combination localization algorithm in he traditional RSSI localization algorithm to establish he mathematical transformation model of signals and algorithms for RFID and WSN and make the detailed algorithm steps. Three main factors that affect the RSSI value are analyzed and simulated and analyzed by MATLAB, the results show that the location accuracy of the improved algorithm is improved significantly, and a new method and basis for warehouse material positioning is provided.
引文
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