A novel RFID multi-tag anti-collision protocol for dynamic vehicle identification

Zhijian Qu; Xubing Sun; Xinqiang Chen; Shengao Yuan

doi:10.1371/journal.pone.0219344

A novel RFID multi-tag anti-collision protocol for dynamic vehicle identification

PLoS One. 2019 Jul 5;14(7):e0219344. doi: 10.1371/journal.pone.0219344. eCollection 2019.

Authors

Zhijian Qu¹, Xubing Sun¹, Xinqiang Chen², Shengao Yuan¹

Affiliations

¹ Electrical and Automation Engineering College, East China Jiaotong University, Nanchang, Jiangxi, China.
² Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, China.

Abstract

In order to obtain the information of the vehicle tags in adverse traffic conditions, we proposed a novel reservation framework named reservation to cancel idle-dynamic frame slotted ALOHA (RTCI-DFSA) algorithm. Firstly, the framework employed reservation mechanism to remove idle slot, and thus improve the system identification efficiency. Secondly, the vehicle information was identified by the tag serialization polling identification method. The experimental results showed that the proposed RTCI-DFSA algorithm performed better than the traditional frame slotted ALOHA (FSA) and dynamic frame slotted ALOHA (DFSA) algorithms. More specifically, the tag loss rate of the proposed framework is significantly lower than the frame length fixed and conventional dynamic vehicle identification algorithms. In addition, the experimental results demonstrated that the throughput rate of the proposed algorithm increased from 0.368 to 0.6. Besides, the identification efficiency and applicability of the proposed framework were both higher than other tag identification algorithms.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Accidents, Traffic / prevention & control*
Algorithms
Artificial Intelligence*
Radio Frequency Identification Device*

Grants and funding

This work was supported by the National Natural Science Foundation of China(51867009 to ZQ); Foundation Plan for Distinguished Young Scholars in Jiangxi Province(20162BCB23045 to ZQ); Applied and Cultivation Program of Science and Technology Department of Jiangxi Province(20181BBE58010 to ZQ).