2017 11th International Conference on Intelligent Systems and Control (ISCO) 2017
DOI: 10.1109/isco.2017.7856007
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Anti-collision algorithm for RFID system using adaptive Bayesian Belief Networks and it's VLSI Implementation

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Cited by 4 publications
(2 citation statements)
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“…erefore, multi-reader identification mode (MRIM) is introduced. MRIM refers to the deployment of multiple readers in a large-scale scenario to cover all tags and launches the identification process simultaneously for the purpose of improving the identification efficiency [10]. In MRIM, to avoid tag missing problem, the coverage ranges of readers overlap each other, which will introduce a new challenge-reader-to-reader collision (R2Rc).…”
Section: Introductionmentioning
confidence: 99%
“…erefore, multi-reader identification mode (MRIM) is introduced. MRIM refers to the deployment of multiple readers in a large-scale scenario to cover all tags and launches the identification process simultaneously for the purpose of improving the identification efficiency [10]. In MRIM, to avoid tag missing problem, the coverage ranges of readers overlap each other, which will introduce a new challenge-reader-to-reader collision (R2Rc).…”
Section: Introductionmentioning
confidence: 99%
“…In RFID system, reader collision problems are generally mitigated by maximizing the total effective interrogation area of an RFID reader network or by automatic adjustable frame size of reader, etc. A proposes novel anti-collision algorithm for RFID system using adaptive Bayesian Belief Networks as discuss in [6]. A novel dual-band single-layer substrate and diamond-shaped antenna is presented.…”
Section: Introductionmentioning
confidence: 99%