DOI

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
StatePublished - 1 May 2017
EventINFOCOM 2017 - Atlanta, United States
Duration: 1 May 20174 May 2017

Conference

ConferenceINFOCOM 2017
CountryUnited States
CityAtlanta
Period1/05/174/05/17

    Research areas

  • Protocols, Radiofrequency identification, Robustness, Software, Payloads

ID: 33344946