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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Suitability of Passive RFID Technology for Fast Moving Vehicle Identification

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Author H. Khali, A. Araar, E. Zennal Abdulla
ISSN 2079-8407
On Pages 44-51
Volume No. 5
Issue No. 1
Issue Date January 31, 2014
Publishing Date January 31, 2014
Keywords Passive RFID, ALOHA, Vehicle Identification


This research paper aims at analyzing the feasibility of using passive RFID-based technologies and related ALOHA-based anti-collision algorithms to identify moving vehicles. It has been motivated by the availability of long-range passive RFID tags that can be acquired at a distance up to 35 meters. The analysis performed in this research work highlights the main strengths and weaknesses of existing anti-collision algorithms which assume a static RFID tag population and are not really efficient in identifying mobile tags like vehicles. Several key factors are taken into account, such as: reader’s range, reader’s reading rate, vehicle speed, and size of tag population. Three main configurations were analyzed: one RFID reader per traffic lane, two RFID readers per two traffic lanes and one RFID reader per multiple traffic lanes. Simulation models have been developed in C++ and validated under a certain confidence level to estimate the car loss ratio (CLR). Main results showed that when slow RFID readers are used, CLR is low when each car lane is assigned an RFID reader. However, in case of fast RFID readers, several car lanes can share a single RFID reader, leading to a reduced CLR. These results have been consolidated by a cost analysis which showed the cost effectiveness of sharing the same RFID reader by several car lanes while maintaining a low CLR. Finally, several design issues have been identified for future research work.

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