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Localization and Proximity Detection in the Internet of Things Based on an Augmented UHF RFID System.

机译：基于增强型UHF RFID系统的物联网中的定位和邻近检测。

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摘要

In the "Internet of Things" (IoT), the things will be able to sense, communicate, and interact. They will also exchange data, information and knowledge, and locate themselves and other things that surround them. In order to be able to interact, the things need to recognize that they are in proximity of other things. It is anticipated that the most widespread components of the IoT will be passive radio frequency identification (RFID) tags because they are inexpensive and provide automatic identification. However, passive RFID tags are not capable of performing complex operations, such as proximity detection and localization, which will be required in future networks. In this thesis, we describe existing problems with current RFID systems and survey potential solutions for localization and proximity detection. Then we present a new RFID device called "Sense-a-Tag" (ST) that can passively detect and decode backscattered signals from tags in its proximity. There have already been an attempt to use this device for tracking. However, detailed analysis of the performance of the ST especially for proximity detection has not been performed yet. We show that when STs are added to a standard RFID system, the problems of proximity detection and localization with RFID tags can readily be solved. Then we applied ST-based system for identifying people and object interactions. The potential uses of ST as an augmented device for IoT applications are discussed in this thesis. Advantages and limitations of an ST based RFID system have been investigated in details for each application.;Results obtained from real experiments illustrate that an ST-based RFID system is feasible for proximity detection applications. In addition, a special software is developed in C
机译：在“物联网”（IoT）中，事物将能够感知，交流和交互。他们还将交换数据，信息和知识，并定位自己和周围的其他事物。为了能够进行交互，事物需要认识到它们与其他事物接近。预计物联网的最广泛组成部分将是无源射频识别（RFID）标签，因为它们价格便宜且可提供自动识别。但是，无源RFID标签无法执行复杂的操作，例如将来的网络将需要的接近度检测和定位。在本文中，我们描述了当前RFID系统存在的问题，并调查了用于定位和接近检测的潜在解决方案。然后，我们介绍了一种称为“ Sense-a-Tag”（ST）的新型RFID设备，该设备可以被动地检测和解码来自其附近标签的反向散射信号。已经尝试使用此设备进行跟踪。但是，尚未对ST的性能进行详细的分析，尤其是对于接近检测。我们表明，当将ST添加到标准RFID系统中时，可以轻松解决RFID标签的邻近检测和定位问题。然后，我们应用了基于ST的系统来识别人与对象的交互。本文讨论了将ST用作物联网应用的增强设备的潜在用途。已经针对每种应用详细研究了基于ST的RFID系统的优点和局限性；从实际实验中获得的结果表明，基于ST的RFID系统对于接近检测应用是可行的。另外，用C语言开发了一个特殊的软件

著录项

  • 作者

    Rostamian, Majed.;

  • 作者单位

    University of Ottawa (Canada).;

  • 授予单位 University of Ottawa (Canada).;
  • 学科 Engineering Computer.
  • 学位 M.A.Sc.
  • 年度 2014
  • 页码 128 p.
  • 总页数 128
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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