Enhancing the efficiency of active RFID-based indoor location systems

Authors:
Rafael de Amorim Silva;Paulo André da S. Gonçalves
Affiliations:
CIn, Computer Science Department, Federal University of Pernambuco, Recife, PE, Brazil;CIn, Computer Science Department, Federal University of Pernambuco, Recife, PE, Brazil
Venue:
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Year:
2009

Citing 6
Cited 4

A Probabilistic Room Location Service for Wireless Networked Environments

UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
LANDMARC: Indoor Location Sensing Using Active RFID

PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Reducing the Calibration Effort for Probabilistic Indoor Location Estimation

IEEE Transactions on Mobile Computing
Kernel-Based Positioning in Wireless Local Area Networks

IEEE Transactions on Mobile Computing
VIRE: Active RFID-based Localization Using Virtual Reference Elimination

ICPP '07 Proceedings of the 2007 International Conference on Parallel Processing
The Horus location determination system

Wireless Networks

Performance-based evaluation of RFID-based indoor location sensing solutions for the built environment

Advanced Engineering Informatics
A Review of Tags Anti-collision and Localization Protocols in RFID Networks

Journal of Medical Systems
Theoretical entropy assessment of fingerprint-based Wi-Fi localization accuracy

Expert Systems with Applications: An International Journal
SCaNME: Location tracking system in large-scale campus Wi-Fi environment using unlabeled mobility map

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.01

Visualization

Abstract

Active RFID-based indoor location systems rely on received signal strength (RSS) measurements in order to report position estimates of target objects. In practice, such systems exhibit a location error in the order of several meters. Much of this is due to the varying-nature of RSS measurements over time. Localization errors of several meters are harmful for applications in which the desired location information is the room or area where the target object is placed. When such location information is wrong, a user searching for the object has no choice other than to perform a blind search through the indoor environment. In this paper, we propose a simple algorithm that can greatly reduce the need for blind searches by automatically reporting to users a second estimate of the possible area in which the target object could be located. We have enhanced the wellknown LANDMARC location system with our algorithm for performance evaluation. Simulation results show that the overall location performance is boosted by up to 96.66% in accordance with signal propagation conditions and the placement of target objects.