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Fast downstream to many (computational) RFIDs

Conference Paper (2017)
Author(s)

H. Aantjes (Brightsight BV)

A.Y. Majid (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Przemek Pawelczak (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Jethro Tan

Aaron Parks (University of Washington)

Joshua R. Smith (University of Washington)

Research Group
Embedded Systems
DOI related publication
https://doi.org/10.1109/INFOCOM.2017.8056987 Final published version
More Info
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Publication Year
2017
Language
English
Research Group
Embedded Systems
Pages (from-to)
1-9
ISBN (print)
978-1-5090-5337-7
ISBN (electronic)
978-1-5090-5336-0
Event
2017 IEEE Conference on Computer Communications, INFOCOM 2017 (2017-05-01 - 2017-05-04), Atlanta, United States
Downloads counter
175

Abstract

We present Stork - an extension of the EPC C1G2 protocol allowing streaming of data to multiple Computational Radio Frequency IDentification tags (CRFIDs) simultaneously at up to 20 times faster than the prior state of the art. Stork introduces downstream attributes never before seen in (C)RFIDs: (i) fast feedback for CRFID downstream verification based on the internal EPC C1G2 memory check command - which we analytically and experimentally show to be the best possible downstream verification process based on EPC C1G2; (ii) ability to perform multi-CRFID transfer - which in our experiments speeds up downstream by more than two times compared to sequential transmission; and (iii) the use of compressed data streams - which improves firmware reprogramming times by up to 10% at large reader-to-CRFID distances.