DocumentCode :
71437
Title :
A Geometric Distribution Reader Anti-Collision Protocol for RFID Dense Reader Environments
Author :
Bueno-Delgado, M.V. ; Ferrero, Renato ; Gandino, F. ; Pavon-Marino, Pablo ; Rebaudengo, Maurizio
Author_Institution :
Dept. of Inf. Technol. & Commun., Univ. Politec. de Cartagena, Cartagena, Spain
Volume :
10
Issue :
2
fYear :
2013
fDate :
Apr-13
Firstpage :
296
Lastpage :
306
Abstract :
Dense passive radio frequency identification (RFID) systems are particularly susceptible to reader collision problems, categorized by reader-to-tag and reader-to-reader collisions. Both may degrade the system performance decreasing the number of identified tags per time unit. Although many proposals have been suggested to avoid or handle these collisions, most of them are not compatible with current standards and regulations, require extra hardware and do not make an efficient use of the network resources. This paper proposes the Geometric Distribution Reader Anti-collision (GDRA), a new centralized scheduler that exploits the Sift geometric probability distribution function to minimize reader collision problems. GDRA provides higher throughput than the state-of-the-art proposals for dense reader environments and, unlike the majority of previous works, GDRA is compliant with the EPCglobal standard and ETSI EN 302 208 regulation, and can be implemented in real RFID systems without extra hardware.
Keywords :
probability; protocols; radiofrequency identification; scheduling; EPCglobal standard; ETSI EN 302 208 regulation; GDRA; RFID dense reader environment; SIFT geometric probability distribution function; centralized scheduler; dense passive radio frequency identification systems; dense reader environment; geometric distribution reader anticollision protocol; identified tags; reader-to-reader collision; reader-to-tag collision; real RFID systems; Hardware; Image color analysis; Proposals; Protocols; Radiofrequency identification; Servers; Standards; EPCglobal; ETSI EN 302 208; radio frequency identification (RFID; reader collision problems; sift geometric distribution function;
fLanguage :
English
Journal_Title :
Automation Science and Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1545-5955
Type :
jour
DOI :
10.1109/TASE.2012.2218101
Filename :
6355958
Link To Document :
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