A RFID-Integrated Framework for Tag Anti-Collision in UAV-Aided VANETs

In this paper, we investigate tags in anti-collision applications of radio frequency identification (RFID) technology in unmanned aerial vehicle (UAV)-aided vehicular ad hoc networks (VANETs). The integration of RFID technology in UAV-aided VANETs can provide reliable traffic-related services for ve...

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Autores principales: Yixin He, Dawei Wang, Fanghui Huang, Yufei Zhang, Ruonan Zhang, Xiaohong Yan
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/08d5ce3d4b234c839c07215103c24b5f
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spelling oai:doaj.org-article:08d5ce3d4b234c839c07215103c24b5f2021-11-25T18:53:42ZA RFID-Integrated Framework for Tag Anti-Collision in UAV-Aided VANETs10.3390/rs132245002072-4292https://doaj.org/article/08d5ce3d4b234c839c07215103c24b5f2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4500https://doaj.org/toc/2072-4292In this paper, we investigate tags in anti-collision applications of radio frequency identification (RFID) technology in unmanned aerial vehicle (UAV)-aided vehicular ad hoc networks (VANETs). The integration of RFID technology in UAV-aided VANETs can provide reliable traffic-related services for vehicles. However, multiple tags’ simultaneous responses to a reader mounted on a UAV, denoted as tag collision, gravely affect the correct tag detection on each vehicle. Therefore, in order to decrease the collision probability and improve the throughput, we propose a multi-frequency tag identification method. In the proposed scheme, we devise a tag grouping method based on adaptive power control to make the reader dynamically match the optimal frame length. Based on the above matching results, we introduce a tag estimation method using the optimal weight to improve the accuracy of tag estimation. We theoretically analyze the closed-form expression of the security outage probability expression. Finally, our simulation results demonstrate that the proposed tag anti-collision scheme achieved significant performance superiority in terms of the throughput and identification time slots.Yixin HeDawei WangFanghui HuangYufei ZhangRuonan ZhangXiaohong YanMDPI AGarticleradio frequency identification (RFID)tag anti-collisionunmanned aerial vehicle (UAV)vehicular ad hoc networks (VANETs)ScienceQENRemote Sensing, Vol 13, Iss 4500, p 4500 (2021)
institution DOAJ
collection DOAJ
language EN
topic radio frequency identification (RFID)
tag anti-collision
unmanned aerial vehicle (UAV)
vehicular ad hoc networks (VANETs)
Science
Q
spellingShingle radio frequency identification (RFID)
tag anti-collision
unmanned aerial vehicle (UAV)
vehicular ad hoc networks (VANETs)
Science
Q
Yixin He
Dawei Wang
Fanghui Huang
Yufei Zhang
Ruonan Zhang
Xiaohong Yan
A RFID-Integrated Framework for Tag Anti-Collision in UAV-Aided VANETs
description In this paper, we investigate tags in anti-collision applications of radio frequency identification (RFID) technology in unmanned aerial vehicle (UAV)-aided vehicular ad hoc networks (VANETs). The integration of RFID technology in UAV-aided VANETs can provide reliable traffic-related services for vehicles. However, multiple tags’ simultaneous responses to a reader mounted on a UAV, denoted as tag collision, gravely affect the correct tag detection on each vehicle. Therefore, in order to decrease the collision probability and improve the throughput, we propose a multi-frequency tag identification method. In the proposed scheme, we devise a tag grouping method based on adaptive power control to make the reader dynamically match the optimal frame length. Based on the above matching results, we introduce a tag estimation method using the optimal weight to improve the accuracy of tag estimation. We theoretically analyze the closed-form expression of the security outage probability expression. Finally, our simulation results demonstrate that the proposed tag anti-collision scheme achieved significant performance superiority in terms of the throughput and identification time slots.
format article
author Yixin He
Dawei Wang
Fanghui Huang
Yufei Zhang
Ruonan Zhang
Xiaohong Yan
author_facet Yixin He
Dawei Wang
Fanghui Huang
Yufei Zhang
Ruonan Zhang
Xiaohong Yan
author_sort Yixin He
title A RFID-Integrated Framework for Tag Anti-Collision in UAV-Aided VANETs
title_short A RFID-Integrated Framework for Tag Anti-Collision in UAV-Aided VANETs
title_full A RFID-Integrated Framework for Tag Anti-Collision in UAV-Aided VANETs
title_fullStr A RFID-Integrated Framework for Tag Anti-Collision in UAV-Aided VANETs
title_full_unstemmed A RFID-Integrated Framework for Tag Anti-Collision in UAV-Aided VANETs
title_sort rfid-integrated framework for tag anti-collision in uav-aided vanets
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/08d5ce3d4b234c839c07215103c24b5f
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