New tag estimator for the dynamic framed slotted Aloha anti-collision algorithm in RFID systems

Chibel, Jalel and Attia, Oussama and Habaebi, Mohamed Hadi and Islam, Md. Rafiqul (2019) New tag estimator for the dynamic framed slotted Aloha anti-collision algorithm in RFID systems. International Journal of Computer Science, Communication & Information Technology (CSCIT), 8 (1). pp. 1-5. ISSN 1737-930X

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Abstract

Radio frequency identification (RFID) technology is a wireless identification technique that has been used in many fields. This paper investigates the use of this technology for traffic monitoring which is the backbone of any intelligent transportation system. One of the main issues that face this technology is tag collisions. This study examines the performance of two known anti-collisions protocols: the Basic Framed Slotted Aloha (BFSA) and the Dynamic Framed Slotted Aloha (DFSA). For such application, it was found that the DFSA method outperforms the BFSA method. However, the DFSA method requires the use of tag estimator. For this reason, the study compares also the performance of three tag estimators associated with the DFSA: Vogt, Zhen and Schoute. It is observed that the Vogt method is the best if the number of tags is low, while the Schoute approach is superior for higher value. The study proposes a new hybrid tag estimator that combines the strength of the Vogt and Schoute approaches.

Item Type:	Article (Journal)
Additional Information:	6727/76923
Uncontrolled Keywords:	Basic Framed Slotted Aloha; Dynamic Framed Slotted Aloha; Tag estimator function; Vogt estimator; Zhen estimator; Schout estimator
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering
Depositing User:	Dr. Mohamed Hadi Habaebi
Date Deposited:	03 Jan 2020 16:39
Last Modified:	03 Jan 2020 16:39
URI:	http://irep.iium.edu.my/id/eprint/76923

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