scholarly journals Performance comparison of inkjet and thermal transfer printed passive ultra‐high‐frequency radio‐frequency identification tags

2016 ◽  
Vol 10 (14) ◽  
pp. 1507-1514 ◽  
Author(s):  
Monageng Kgwadi ◽  
Muhammad Rizwan ◽  
Ajith Adhur Kutty ◽  
Johanna Virkki ◽  
Leena Ukkonen ◽  
...  
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
High Frequency ◽  
Performance Comparison ◽  
Ultra High Frequency ◽  
Thermal Transfer ◽  
Frequency Identification ◽  
Identification Tags

Bandwidth limitations of ultra high frequency–radio frequency identification tags

2013 ◽  
Vol 7 (10) ◽  
pp. 788-794 ◽  
Author(s):  
Gerard Zamora ◽  
Ferran Paredes ◽  
Francisco Javier Herraiz‐Martínez ◽  
Ferran Martín ◽  
Jordi Bonache
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
High Frequency ◽  
Ultra High Frequency ◽  
Frequency Identification ◽  
Identification Tags

scholarly journals On the Design and Implementation of an IoT based Architecture for Reading Ultra High Frequency Tags

Information ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 41 ◽  
Author(s):  
Yago dos Santos ◽  
Edna Dias Canedo
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
High Frequency ◽  
Smart Devices ◽  
Ultra High Frequency ◽  
Frequency Identification ◽  
Identification Tags ◽  
The One

Internet of Things comprises an increasing number of interconnected smart devices, where communication happens anytime, anywhere, reducing hardware costs and the complexity of the architectures. Reading Radio Frequency Identification tags using ultra high frequency is a high-cost activity because of its infrastructure and the radio frequency identification tag reading device for these frequencies. This work proposes an architecture that enables the cost reduction of Radio Frequency Identification tag reading equipment operating ultra high frequency in an infrastructure using cloud computing and microservices. The use of cloud computing and microservices was necessary due to scalability and the management of large volumes of data that can be generated by reading Radio Frequency Identification tags using ultra high frequency and the complexity of the architecture related to the theme of this work. The proposed architecture was applied in a real case study to verify its adherence and compliance. The proposed architecture can be used in any system that presents similar characteristics to the one proposed in this work. In scenarios where reading distance is a fundamental requirement, it is necessary to include an external antenna for better results. Other practical experiments will be carried out to evaluate the use of the proposed architecture in other contexts related to the use of Internet of Things and reading of Radio Frequency Identification tags.

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