计算机科学 ›› 2012, Vol. 39 ›› Issue (Z11): 131-134.

• 计算机网络与信息安全 • 上一篇    下一篇

一种面向车联网的身份识别与定位方法

王 群,钱焕延,赵 钢   

  1. (江苏警官学院公安科技系 南京210012);(南京理工大学计算机科学与技术学院 南京210094);(西安航空职业技术学院 西安710089)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Identification and Positioning Method for VANET

  • Online:2018-11-16 Published:2018-11-16

摘要: 身份信息识别和定位是车联网中的关键技术,也是近年来的一个研究热点。提出了基于射频识别(RFID)的车辆身份信息识别方法,并以EPC-64 }方案为例,介绍了一种用于标识车辆身份信息的编码结构。在对全球定位系统(GP8)定位法、航位推算(DRS定位法和基站无线定位法进行算法实现和精度分析的基础上,指出CPS定位法在车联网中的应用优势。设计了RFID与CPS相结合的车辆身份信息识别和定位方案,经实验测试,其初步达到了车联网的应用要求。

关键词: 车联网,身份识别,车辆定位,全球定位系统,航位推算,射频识别

Abstract: Identification and positioning arc key technologies for vehicular Ad hoc nctwork(VANEI}),also a hot research topic in recent years. A vehicle identifiable information identification method based on radio frequency identification (RFID) was proposed, and a coding structure using EPG64 type班for vehicle identity information was put forward. I}he global positioning system (GPS) positioning method, the dead reckoning (DR) positioning method and the base station wireless positioning method algorithm and precision analysis were introduced. On this basis, the application priority of GPS positioning method for VANET was confirmed. Finally,a identification and positioning method combining RFID and GPS for VANEI} was proposed. I}he experiment shows that the method preliminary reaches the application rectuirements for VANE?.

Key words: Vehicular Ad hoc network, Identification, Vehicle positioning, Global positioning system, Dcad reckoning,Radio frequency identification

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