NDLI: Capturing Tag Dynamics by Prediction for Pervasive Internet-of-Things Applications

Content Provider	IEEE Xplore Digital Library
Author	Yu Huang Xiaoxing Ma Yiling Yang
Copyright Year	2012
Abstract	Efficient detection of RFID-tagged physical objects is one of the key enabling technologies to build pervasive Internet-of-Things applications. However, the detection of tagged-objects is faced with the critical challenge of tag dynamics, which mainly arises from the movement of tagged physical objects. To capture tag dynamics, the application needs to detect the presence/absence of tags in an accurate, timely and cost-effective way. To address these challenges, we propose the Prediction of Tag Dynamics (PTD) algorithm. PTD achieves runtime detection of tagged-objects by i) streaming of the temporally-correlated tag readings obtained from persistent tracking of the tagged-object, and ii) runtime prediction of tag dynamics based on the streaming of tag readings. The performance of PTD is investigated based on real implementation and experimental evaluation, where PTD processes tag readings gathered with high fidelity from persistent tracking of real activities of tagged objects. The evaluation results demonstrate the accuracy, timeliness and cost-effectiveness of PTD.
Starting Page	416
Ending Page	423
File Size	653714
Page Count	8
File Format	PDF
ISBN	9781467345651
ISSN	15219097
e-ISBN	9780769549033
DOI	10.1109/ICPADS.2012.64
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-17
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heuristic algorithms Radiofrequency identification Accuracy Delay Jitter Tracking Noise measurement Internet of Things RFID tagged-objects tag dynamics prediction
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture

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