DocumentCode
2761903
Title
Introducing Probability in RFID Reader-to-Reader Anti-collision
Author
Gandino, Filippo ; Ferrero, Renato ; Montrucchio, Bartolomeo ; Rebaudengo, Maurizio
Author_Institution
Dipt. di Autom. ed Inf., Politec. di Torino, Torino, Italy
fYear
2009
fDate
9-11 July 2009
Firstpage
250
Lastpage
257
Abstract
Nowadays, several kinds of applications based on Radio Frequency Identification (RFID) employ a large number of tags and readers, involving collision problems. A relevant group of reader-to-reader anti-collision protocols are based on time division. Normally these protocols do not require special readers or additional entities; their main challenge is the collision resolution, since after a collision, readers have to choose a new time slot trying to avoid new collisions.It is observed that after a collision, its slot is often unoccupied, therefore this paper proposes to introduce the slot change probability as an additional parameter, in order to reduce the number of readers that change slot and the number of colliding transmissions. A new version of Distributed Color Selection (DCS) is presented, analyzed and compared with well-known protocols based on time division. The simulation analysis shows that the average time required to transmit may be reduced by over 10%.
Keywords
probability; protocols; radiofrequency identification; telecommunication congestion control; RFID reader-to-reader anticollision protocols; colliding transmissions; collision avoidance; collision resolution; distributed color selection; probability; protocols; radio frequency identification; time division analysis; Algorithms; Analytical models; Communication channels; Computer applications; Computer networks; Distributed control; Electromagnetic fields; Interference; Protocols; Radiofrequency identification; DCS; RFID; reader-to-reader collision; time division;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Computing and Applications, 2009. NCA 2009. Eighth IEEE International Symposium on
Conference_Location
Cambridge, MA
Print_ISBN
978-0-7695-3698-9
Electronic_ISBN
978-0-7695-3698-9
Type
conf
DOI
10.1109/NCA.2009.45
Filename
5190379
Link To Document