An Advanced Dynamic Framed-Slotted ALOHA Algorithm Based on Bayesian Estimation and Probability Response
Joint Authors
Qiao, Juyi
Li, Xiuhua
Wang, Weidong
Wang, Chaowei
Li, Menglong
Source
International Journal of Antennas and Propagation
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wang, Chaowei& Li, Menglong& Qiao, Juyi& Wang, Weidong& Li, Xiuhua. 2013. An Advanced Dynamic Framed-Slotted ALOHA Algorithm Based on Bayesian Estimation and Probability Response. International Journal of Antennas and Propagation،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-495222
Modern Language Association (MLA)
Wang, Chaowei…[et al.]. An Advanced Dynamic Framed-Slotted ALOHA Algorithm Based on Bayesian Estimation and Probability Response. International Journal of Antennas and Propagation No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-495222
American Medical Association (AMA)
Wang, Chaowei& Li, Menglong& Qiao, Juyi& Wang, Weidong& Li, Xiuhua. An Advanced Dynamic Framed-Slotted ALOHA Algorithm Based on Bayesian Estimation and Probability Response. International Journal of Antennas and Propagation. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-495222
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495222