Fast downstream to many (computational) RFIDs

H. Aantjes; A.Y. Majid; Przemek Pawelczak; Jethro Tan; Aaron Parks; Joshua R. Smith

doi:10.1109/INFOCOM.2017.8056987

Fast downstream to many (computational) RFIDs

H. Aantjes, A.Y. Majid, Przemek Pawelczak, Jethro Tan, Aaron Parks, Joshua R. Smith

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

18 Citations (Scopus)

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.

Original language	English
Title of host publication	IEEE Conference on Computer Communications Conference INFOCOM 2017
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1-9
Number of pages	9
ISBN (Electronic)	978-1-5090-5336-0
ISBN (Print)	978-1-5090-5337-7
DOIs	https://doi.org/10.1109/INFOCOM.2017.8056987
Publication status	Published - 1 May 2017
Event	2017 IEEE Conference on Computer Communications, INFOCOM 2017: IEEE Conference on Computer Communications - Atlanta, United States Duration: 1 May 2017 → 4 May 2017

Conference

Conference	2017 IEEE Conference on Computer Communications, INFOCOM 2017
Country/Territory	United States
City	Atlanta
Period	1/05/17 → 4/05/17

Keywords

Protocols
Radiofrequency identification
Robustness
Software
Payloads

Access to Document

10.1109/INFOCOM.2017.8056987

Cite this

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title = "Fast downstream to many (computational) RFIDs",

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.",

keywords = "Protocols, Radiofrequency identification, Robustness, Software, Payloads",

author = "H. Aantjes and A.Y. Majid and Przemek Pawelczak and Jethro Tan and Aaron Parks and Smith, {Joshua R.}",

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AU - Aantjes, H.

AU - Majid, A.Y.

AU - Pawelczak, Przemek

AU - Tan, Jethro

AU - Parks, Aaron

AU - Smith, Joshua R.

PY - 2017/5/1

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N2 - 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.

AB - 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.

KW - Protocols

KW - Radiofrequency identification

KW - Robustness

KW - Software

KW - Payloads

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Y2 - 1 May 2017 through 4 May 2017

ER -

Fast downstream to many (computational) RFIDs

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Keywords

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