A Group-Based Dynamic Framed Slotted ALOHA Anticollision Algorithm for Single Reader RFID System

in the RFID system, the conflict caused by the multi-label has been affecting system performance. This paper proposed a grouping dynamic framed slotted ALOHA algorithm based on the analysis of ALOHA algorithm. According to the conflict situation, to make real-time estimates the number of tags on the dynamic framed slotted ALOHA algorithm from the mathematical point of view, Dynamically change the frame length or the labels are grouped to reduce the label probability of collisions, thereby improving the efficiency of the recognition.

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Cancellation strategy in Dynamic Framed Slotted ALOHA for RFID system

2013 IEEE Wireless Communications and Networking Conference (WCNC) ◽

10.1109/wcnc.2013.6554675 ◽

2013 ◽

Cited By ~ 1

Author(s):

Chenyi Jiang ◽

Yinfei Xu ◽

Qiao Wang

Keyword(s):

Slotted Aloha ◽

Rfid System ◽

Framed Slotted Aloha

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A Study on Anti-Collision RFID Algorithm Based on Interval Estimate Method

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.476-478.1841 ◽

2012 ◽

Vol 476-478 ◽

pp. 1841-1844

Author(s):

Zhi Guo Cheng ◽

Su Xian Chen ◽

Guan Nan Chen

Keyword(s):

Interval Estimate ◽

Slotted Aloha ◽

Rfid System ◽

Estimate Method ◽

Framed Slotted Aloha

It is a key problem that readers collide with each other which infuences the identification effciency of RFID system. This paper, which is based on the character that the frame-lengh restricts by EPC C1G2 RFID system, analyses the mechanism of anti-collision in Framed slotted ALOHA and the characteristic of classical responder estimate method. And it also gets a EPC C1G2 RFID algorithm which is based on IEM among readers. The result of simulation is given too.

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Dynamic Framed Slotted ALOHA Algorithm Based on Bayesian Estimation in RFID System

2009 WRI World Congress on Computer Science and Information Engineering ◽

10.1109/csie.2009.248 ◽

2009 ◽

Cited By ~ 9

Author(s):

Qiaoling Tong ◽

Xuecheng Zou ◽

Hengqing Tong

Keyword(s):

Bayesian Estimation ◽

Slotted Aloha ◽

Rfid System ◽

Framed Slotted Aloha

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An Advanced Dynamic Framed-Slotted ALOHA Algorithm Based on Bayesian Estimation and Probability Response

International Journal of Antennas and Propagation ◽

10.1155/2013/743468 ◽

2013 ◽

Vol 2013 ◽

pp. 1-8 ◽

Cited By ~ 3

Author(s):

Chaowei Wang ◽

Menglong Li ◽

Juyi Qiao ◽

Weidong Wang ◽

Xiuhua Li

Keyword(s):

Bayesian Estimation ◽

Radio Frequency Identification ◽

Estimation Algorithm ◽

Collision Rate ◽

Slotted Aloha ◽

Rfid System ◽

Frequency Identification ◽

Framed Slotted Aloha ◽

Simulation Results ◽

The Stability

This paper proposes an advanced dynamic framed-slotted ALOHA algorithm based on Bayesian estimation and probability response (BE-PDFSA) to improve the performance of radio frequency identification (RFID) system. The Bayesian estimation is introduced to improve the accuracy of the estimation algorithm for lacking a large number of observations in one query. The probability response is used to adjust responsive probability of the unrecognized tags to make the responsive tag number equal to the frame length. In this way, we can solve the problem of high collision rate with the increase of tag number and improve the throughput of the whole system. From the simulation results, we can see that the algorithm we proposed can greatly improve the stability of RFID system compared with DFSA and other commonly used algorithms.

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Improved RFID Anti-Collision Algorithm Based on Dynamic Framed Slotted ALOHA Algorithm

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.385-386.1659 ◽

2013 ◽

Vol 385-386 ◽

pp. 1659-1662

Author(s):

Qing Yu ◽

Ping Gu ◽

Jin Lin Wang

Keyword(s):

Simulation Experiment ◽

Slotted Aloha ◽

Performance Simulation ◽

Recognition Process ◽

Frame Length ◽

Rfid System ◽

Framed Slotted Aloha ◽

Recognition Efficiency ◽

Improved Algorithm

Aiming at the problem of tag conflict in the RFID system, an improved algorithm based on dynamic framed slotted ALOHA algorithm is proposed. In this algorithm , when the recognition of a frame length is still not finished, according to the existing conflict timeslot and free timeslot inside of frame, frame length can adjusted in advance, furthermore a new frames recognition process is began, which can improve the recognition efficiency of the existing algorithm, increase throughput. The performance simulation experiment shows that the improved algorithm has more advantage than dynamic slotted ALOHA algorithm.

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