DocumentCode :
30513
Title :
No Battery Required: Perpetual RFID-Enabled Wireless Sensors for Cognitive Intelligence Applications
Author :
Sangkil Kim ; Mariotti, Chiara ; Alimenti, F. ; Mezzanotte, P. ; Georgiadis, Anthimos ; Collado, Ana ; Roselli, Luca ; Tentzeris, Manos M.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
14
Issue :
5
fYear :
2013
fDate :
July-Aug. 2013
Firstpage :
66
Lastpage :
77
Abstract :
Over the last decade, radio frequency identification (RFID) systems have been increasingly used for identification and object tracking due to their low-power, low-cost wireless features. In addition, the explosive demand for ubiquitous rugged low-power, compact wireless sensors for Internet-of-Things, ambient intelligence, and biomonitoring/ quality-of-life application has sparked a plethora of research efforts to integrate sensors with an RFID-enabled platform. The rapid evolution of large-area electronics printing technologies (e.g., ink-jet printing and gravure printing) has enhanced the development of low-cost RFID-enabled sensors as well as accelerated their large-scale deployment. This article presents a brief overview of the recent progress in the area of RFID-based sensor systems and especially the state-of-the-art RFID-enabled wireless sensor tags realized through the use of ink-jet printing technology.
Keywords :
Internet of Things; ink jet printing; object tracking; radiofrequency identification; wireless sensor networks; Internet-of-Things; RFID-enabled sensors; ambient intelligence; biomonitoring; compact wireless sensors; gravure printing; identification tracking; ink-jet printing; large-area electronics printing technology; large-scale deployment; low-cost wireless features; low-power features; object tracking; quality-of-life application; radiofrequency identification; ubiquitous rugged low-power sensors; wireless sensor tags; Batteries; Cognitive intelligence; Intelligent sensors; Radiofrequency identification; Substrates; Wireless sensor networks;
fLanguage :
English
Journal_Title :
Microwave Magazine, IEEE
Publisher :
ieee
ISSN :
1527-3342
Type :
jour
DOI :
10.1109/MMM.2013.2259398
Filename :
6556093
Link To Document :
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