| Title |
Low Frequency RFID system for identification and localization in smart cities - Comparison with UHF RFID |
| ID_Doc |
42992 |
| Authors |
Gharat, V; Baudoin, G; Colin, E; Richard, D |
| Title |
Low Frequency RFID system for identification and localization in smart cities - Comparison with UHF RFID |
| Year |
2017 |
| Published |
International Journal Of Rf Technologies-Research And Applications, 8, 4 |
| DOI |
10.3233/RFT-181781 |
| Abstract |
Location-Based Services (LBS) associated with identification technologies are important aspects of smart cities as they provide useful information for planning and for making processes automated, efficient and cost-effective. Indoor environments pose several challenges for existing localization technologies because of their sensitivity to the environment which affects their accuracy and reliability. Low Frequency (LF) Radio-Frequency Identification (RFID) is ideally suited for indoor localization applications since LF magnetic fields are not greatly affected by the environment. The objective of the paper is to present a solution for identification and localization in smart cities based on RFID technology operating at 125 kHz and to compare its performance with Ultra-High Frequency (UHF) RFID systems, widely used for localization applications. In order to demonstrate the localization performance of the proposed system we present test results for an LF-RFID system implemented using Commercial Off-The-Shelf (COTS) components in a challenging indoor environment of area 315 square meters. Proposed LF-RFID system is compared to UHF-RFID technology for localization performance in the same indoor environment. With the proposed system, for 352 position estimations, mean positioning error of 1.58 m is achieved with standard deviation of 0.76 m and for 90% of the cases, positioning error remains below 2.62 m. Based on the performance, possible applications of this technology in smart cities are discussed. |
| Author Keywords |
LBS; low frequency; RFID; smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000426044500002 |
| WoS Category |
Computer Science, Information Systems |
| Research Area |
Computer Science |
| PDF |
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