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 volumeConference contributionScientificpeer-review

12 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 languageEnglish
Title of host publicationIEEE Conference on Computer Communications Conference INFOCOM 2017
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1-9
Number of pages9
ISBN (Electronic)978-1-5090-5336-0
ISBN (Print)978-1-5090-5337-7
DOIs
Publication statusPublished - 1 May 2017
Event2017 IEEE Conference on Computer Communications, INFOCOM 2017: IEEE Conference on Computer Communications - Atlanta, United States
Duration: 1 May 20174 May 2017

Conference

Conference2017 IEEE Conference on Computer Communications, INFOCOM 2017
CountryUnited States
CityAtlanta
Period1/05/174/05/17

Keywords

  • Protocols
  • Radiofrequency identification
  • Robustness
  • Software
  • Payloads

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