A Survey on RFID-based Localization

PhD Qualifying Examination


Title: "A Survey on RFID-based Localization"

by

Mr. Yi GUO


Abstract:

Radio-frequency identification (RFID) has been widely applied to asset
tracking, logistics, manufacturing, production, access control, baggage
tagging and various other areas of our daily life. Thanks to the rapid
development of microelectronic technology in recent decades, RFID
technology has experienced tremendous growth and development such as the
substantial reduction in tag size and cost. These remarkable technical
advances have resulted in more and more supermarkets and libraries, such
as Walt-Mart and university libraries, introducing RFID techniques into
their traditional systems. Such wide use of RFID technology has spawned
exciting new research initiatives. RFID-based localization has currently
become one of the hottest research topics in the RFID field. RFID-based
localization technology benefits from the wide deployment of RFID systems,
which means less additional deployment is needed when performing
localization processes. However, the low functionality of RFID tags,
especially the passive UHF RFID tags, strongly limits the application of
state-of-the-art techniques being applied to RFID-based localization
techniques such as CSI-based localization techniques, which remains a
major challenge in RFID-based localization technology.
To deal with this challenge, a number of RFID-based localization
techniques have been proposed in recent year. This survey gives an
overview of state-of-the-art works in RFID-based localization and we first
outline the relevant and basic techniques for RFID-based localization.
Then we introduce RFID-based localization approaches in three categories.
The first category of approaches is approaches based on distance
estimation, which directly estimates the location of locating tags using a
straight-line distance to the reader. Then we introduce the approaches
based on reference tags, which estimate the locating tag location by
finding the relation to the reference tags with pre-known coordinates.
Finally, we introduce approaches based on constraint, which use
geometrical constraints to proximate the location of the locating tags.


Date:			Thursday, 20 November 2014

Time:                  	10:00am - 12:00noon

Venue:                  Room 5508
                         Lifts 25/26

Committee Members:	Prof. Lionel Ni (Supervisor)
 			Dr. Lei Chen (Chairperson)
 			Dr. Qiong Luo
 			Dr. Ke Yi


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