2019
DOI: 10.1002/dac.4101
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Novel tag estimation method by use of Manchester coding in RFID systems

Abstract: Radio frequency identification suffers from tag collision issue. ALOHA-based algorithms are useful and practical groups of tag anti-collision algorithm among others. Some standards such as EPCglobal Class-1 Generation-2 use some kind of dynamic framed slotted ALOHA (DFSA) to cope with tag collision. DFSA efficiency depends on estimating the number of unidentified tags in each identification cycle accurately. So tag estimation is one of the challenging issues in DFSA. In this paper, we use Manchester coding to … Show more

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Cited by 3 publications
(4 citation statements)
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References 18 publications
(17 reference statements)
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“…Wang [14] Normal Normal Good Chen [15] Low Low Normal HajMirzaei [16] High Low Good Chen [17] Normal High Good LC-DFSA Low Low Good…”
Section: Different Algorithms Signaling Complexity Computational Compmentioning
confidence: 99%
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“…Wang [14] Normal Normal Good Chen [15] Low Low Normal HajMirzaei [16] High Low Good Chen [17] Normal High Good LC-DFSA Low Low Good…”
Section: Different Algorithms Signaling Complexity Computational Compmentioning
confidence: 99%
“…Thus, it lowers the complexity of the passive RFID system. The results of the analyses and simulations show that the complexity of LC-DFSA is lower than that of Chen [15] and HajMirzaei [16], and the access efficiency of the proposed LC-DFSA achieves 0.345 for the massive tags scenario, which outperforms Chen [15] and HajMirzaei [16].…”
Section: Introductionmentioning
confidence: 96%
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“…Wong [20] proposed a bit slot ALOHA algorithm based on bit sequences. In DSFA algorithms, Chen [21] proposed a method by the Maximum a Posteriori (MAP) to estimate the tag number, HajMirzaei [22] proposed an efficient method to estimate the lower bound of collided tags by Manchester coding, Wang [23] proposed the secant-iteration-based adaptive and dynamic frame slotted Aloha method (SIADA), Yang [24] proposed a low complexity dynamic frame slotted Aloha (LC-DFSA) anti-collision algorithm. The algorithm proposed in this paper will be compared with the algorithms proposed in recent years, reflecting the good performance of the algorithm in TMRS.…”
Section: Introductionmentioning
confidence: 99%