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Pregled bibliografske jedinice broj: 1064717

Anticollision algorithm for radio frequency identification system with low memory requirements


Radić, Joško; Šolić, Petar; Škiljo, Maja
Anticollision algorithm for radio frequency identification system with low memory requirements // Transactions on Emerging Telecommunications Technologies, e3969 (2020), -, 14 doi:10.1002/ett.3969 (međunarodna recenzija, članak, znanstveni)


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Naslov
Anticollision algorithm for radio frequency identification system with low memory requirements

Autori
Radić, Joško ; Šolić, Petar ; Škiljo, Maja

Izvornik
Transactions on Emerging Telecommunications Technologies (2161-3915) E3969 (2020); 14

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
anticollision algorithm ; radio frequency identification (RFID) ; Internet of Things ; collision slots ; frame length ; low memory requirements ;

Sažetak
Radio Frequency Identification (RFID) is recognized as an essential technology for the development of the Internet of Things (IoT) concept. This is due to the possibility of object identification using passive tags which do not require batteries for their operation. Instead, tags are powered by the electromagnetic waves emitted from the reader and then the same electromagnetic wave is used as a carrier to reflect the modulated information about their unique serial number back to the reader. According to the EPCglobal Class-1 Generation-2 RFID standard, Dynamic frame slotted ALOHA procedure is used to solve the anticollision problem. Basically, a reader adjusts the frame length for the next reading round based on the estimated number of unread tags. To achieve high reading efficiency, an algorithm with accurate estimation of the remaining number of tags is required. The article shows that for the adjustment of the next frame length, only the number of collisions is relevant. A simple estimator for the frames with 64 slots is designed, and generalized for the frames of any length provided within the EPCglobal Class-1 Generation-2 standard. Contrary to existing solutions, which use more tables for storage of the estimated values depending on the frame length, proposed approach requires just one table. Also, the problem of estimation is reduced to dependence on the number of collisions only, while conventional approaches use the number of collisions and successful slots.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekt / tema
HRZZ-UIP-2017-05-4206 - Internet stvari: istraživanja i primjene (IoTRA) (Šolić, Petar, HRZZ - 2017-05 )

Ustanove
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Petar Šolić (autor)

Avatar Url Joško Radić (autor)

Avatar Url Maja Škiljo (autor)

Citiraj ovu publikaciju

Radić, Joško; Šolić, Petar; Škiljo, Maja
Anticollision algorithm for radio frequency identification system with low memory requirements // Transactions on Emerging Telecommunications Technologies, e3969 (2020), -, 14 doi:10.1002/ett.3969 (međunarodna recenzija, članak, znanstveni)
Radić, J., Šolić, P. & Škiljo, M. (2020) Anticollision algorithm for radio frequency identification system with low memory requirements. Transactions on Emerging Telecommunications Technologies, e3969, -, 14 doi:10.1002/ett.3969.
@article{article, year = {2020}, pages = {14}, DOI = {10.1002/ett.3969}, chapter = {-}, keywords = {anticollision algorithm, radio frequency identification (RFID), Internet of Things, collision slots, frame length, low memory requirements, }, journal = {Transactions on Emerging Telecommunications Technologies}, doi = {10.1002/ett.3969}, volume = {e3969}, issn = {2161-3915}, title = {Anticollision algorithm for radio frequency identification system with low memory requirements}, keyword = {anticollision algorithm, radio frequency identification (RFID), Internet of Things, collision slots, frame length, low memory requirements, }, chapternumber = {-} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • INSPEC
  • Journal Citation Reports/Science Edition (Clarivate Analytics)
  • The DBLP Computer Science Bibliography (University of Trier)


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