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Grid-Based RFID Indoor Localization Using Tag Read Count and Received Signal Strength Measurements.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Grid-Based RFID Indoor Localization Using Tag Read Count and Received Signal Strength Measurements./
Author:	Jeevarathnam, Nanda Gopal.
Description:	1 online resource (59 pages)
Notes:	Source: Masters Abstracts International, Volume: 57-02.
Contained By:	Masters Abstracts International57-02(E).
Subject:	Electrical engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9780355463965

Grid-Based RFID Indoor Localization Using Tag Read Count and Received Signal Strength Measurements.
Jeevarathnam, Nanda Gopal.

Grid-Based RFID Indoor Localization Using Tag Read Count and Received Signal Strength Measurements. - 1 online resource (59 pages)

Source: Masters Abstracts International, Volume: 57-02.

Thesis (M.S.E.E.)--University of South Florida, 2017.

Includes bibliographical references

Passive ultra-high frequency (UHF) radio frequency identification (RFID) systems have gained immense popularity in recent years for their wide-scale industrial applications in inventory tracking and management. In this study, we explore the potential of passive RFID systems for indoor localization by developing a grid-based experimental framework using two standard and easily measurable performance metrics: received signal strength indicator (RSSI) and tag read count (TRC). We create scenarios imitating real life challenges such as placing metal objects and other RFID tags in two different read fields (symmetric and asymmetric) to analyze their impacts on location accuracy. We study the prediction potential of RSSI and TRC both independently and collaboratively. In the end, we demonstrate that both signal metrics can be used for localization with sufficient accuracy whereas the best performance is obtained when both metrics are used together for prediction on an artificial neural network especially for more challenging scenarios. Experimental results show an average error of as low as 0.286 (where consecutive grid distance is defined as unity) which satisfies the grid-based localization benchmark of less than 0.5.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355463965Subjects--Topical Terms:

596380
Electrical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Grid-Based RFID Indoor Localization Using Tag Read Count and Received Signal Strength Measurements.
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500 $a Source: Masters Abstracts International, Volume: 57-02.
500 $a Includes supplementary digital materials.
500 $a Adviser: Ismail Uysal.
502 $a Thesis (M.S.E.E.)--University of South Florida, 2017.
504 $a Includes bibliographical references
520 $a Passive ultra-high frequency (UHF) radio frequency identification (RFID) systems have gained immense popularity in recent years for their wide-scale industrial applications in inventory tracking and management. In this study, we explore the potential of passive RFID systems for indoor localization by developing a grid-based experimental framework using two standard and easily measurable performance metrics: received signal strength indicator (RSSI) and tag read count (TRC). We create scenarios imitating real life challenges such as placing metal objects and other RFID tags in two different read fields (symmetric and asymmetric) to analyze their impacts on location accuracy. We study the prediction potential of RSSI and TRC both independently and collaboratively. In the end, we demonstrate that both signal metrics can be used for localization with sufficient accuracy whereas the best performance is obtained when both metrics are used together for prediction on an artificial neural network especially for more challenging scenarios. Experimental results show an average error of as low as 0.286 (where consecutive grid distance is defined as unity) which satisfies the grid-based localization benchmark of less than 0.5.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
650 4 $a Engineering. $3 561152
655 7 $a Electronic books. $2 local $3 554714
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690 $a 0537
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