Title
Assessing and optimizing the range of UHF RFID to enable real-world pervasive computing applications
Abstract
Radio frequency identification (RFID) may be used to automatically detect, locate and/or identify objects, making it an ideal candidate for many pervasive computing applications. As RFID technology improves in terms of cost and performance, it is increasingly being explored in a variety of applications, ranging from eldercare through to the smart supply chain. However, while passive UHF RFID has many benefits over other RFID variants, reliable operation as the tag moves in the environment is inherently difficult to predict and can represent a significant challenge. In this paper, we present a novel and practical experimental method called attenuation-thresholding which may be used to characterize the operating range of such RFID systems. The results presented demonstrate the advantages of our method over the conventional read-rate approach. We also demonstrate a novel approach to collecting the measurements in range characterization experiments using robotic automation. Finally, we show how the application of attenuation-thresholding in combination with robotic automation can be used to optimize tag placement on an object. In addition to the clear relevance of this work to the many RFID-based pervasive computing applications reported in the literature and currently under development, it also has broad applicability in other RFID application domains. We conclude with a number of ideas for future extensions to this work.
Year
DOI
Venue
2007
10.1007/978-3-540-72037-9_17
Pervasive
Keywords
Field
DocType
rfid variant,rfid application domain,novel approach,operating range,rfid technology,conventional read-rate approach,robotic automation,rfid-based pervasive computing application,rfid system,passive uhf rfid,real-world pervasive computing application,pervasive computing,radio frequency identification,supply chain
Computer science,Automation,Ranging,Supply chain,Ubiquitous computing,Ultra high frequency,Radio-frequency identification,Distributed computing,Embedded system
Conference
Volume
ISSN
Citations 
4480
0302-9743
16
PageRank 
References 
Authors
2.21
15
4
Name
Order
Citations
PageRank
Steve Hodges13658252.46
Alan Thorne2213.84
Hugo Mallinson3204.05
Christian Floerkemeier463070.10