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HMRL: Relative Localization of RFID Tags with Static Devices

  • University of California at Santa Cruz
  • Princeton University
  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

34 Scopus citations

Abstract

Passive Radio Frequency Identification (RFID) tags have been widely applied in many applications, such as logistics, retailing, and warehousing. In many situations the relative locations of objects are more important than their absolute locations. However, state-of-art relative localization methods need continuing movement of tags and readers, which limit the application domain and scalability. In this paper, we propose a relative localization approach for passive tags that requires no device movement. Instead, our method utilizes signal changes caused by arbitrary movement of human beings around tags, who carry no device. Hence our method is called Human Movement based Relative Localization (HMRL). The basic idea of HMRL is that when people pass between reader antenna and tags, the received signal strength will change. By observing the time-series RSS changes of tags, HMRL can obtain the order of tags along a specific horizontal direction. HMRL can also get the order of tags in a vertical direction using hyperbolic positioning. We implement HMRL with commodity off-the-shelf RFID devices. The experimental results show that HMRL achieves high accuracy for relative localization of passive tags.

Original languageEnglish
Title of host publication2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509065998
DOIs
StatePublished - 30 Jun 2017
Event14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017 - San Diego, United States
Duration: 12 Jun 201714 Jun 2017

Publication series

Name2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017

Conference

Conference14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017
Country/TerritoryUnited States
CitySan Diego
Period12/06/1714/06/17

Keywords

  • RFID
  • Relative localization

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