The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Actuellement, les protocoles VANET basés sur NDN rencontrent plusieurs problèmes liés à la surcharge de paquets liée à la rediffusion, au contrôle des paquets et à la précision de la sélection du prochain saut en raison de la topologie dynamique. Pour résoudre ces problèmes dans cet article, nous proposons un protocole de transfert robuste et léger dans les réseaux de données nommés ad hoc pour véhicules. Le concept de notre protocole de transfert adopte une approche sans paquets. Un véhicule collecte l'identification visuelle de son voisin par une paire de caméras (avant et arrière) pour attribuer une identification visuelle unique à chaque nœud. Sur la base de ces identifiants, nous construisons efficacement une stratégie de transfert basée sur FIB saut par saut. De plus, la duplication de visage [1] dans l'environnement sans fil provoque un problème de diffusion générale. Nous ajoutons les informations visuelles à Face pour distinguer les faces entrantes et sortantes afin d'éviter les tempêtes de diffusion et de rendre le travail FIB et PIT plus précis et plus efficace. Les résultats de l'évaluation des performances axés sur les frais généraux de communication montrent que notre proposition donne de meilleurs résultats en termes de coûts globaux du trafic réseau et de taux de satisfaction des intérêts que les travaux précédents.
Minh NGO
University of Electro-protect Communications
Satoshi OHZAHATA
University of Electro-protect Communications
Ryo YAMAMOTO
University of Electro-protect Communications
Toshihiko KATO
University of Electro-protect Communications
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copier
Minh NGO, Satoshi OHZAHATA, Ryo YAMAMOTO, Toshihiko KATO, "A Visual-Identification Based Forwarding Strategy for Vehicular Named Data Networking" in IEICE TRANSACTIONS on Information,
vol. E106-D, no. 2, pp. 204-217, February 2023, doi: 10.1587/transinf.2022EDP7084.
Abstract: Currently, NDN-based VANETs protocols have several problems with packet overhead of rebroadcasting, control packet, and the accuracy of next-hop selection due to the dynamic topology. To deal with these problems in this paper, we propose a robust and lightweight forwarding protocol in Vehicular ad-hoc Named Data Networking. The concept of our forwarding protocol is adopting a packet-free approach. A vehicle collects its neighbor's visual identification by a pair of cameras (front and rear) to assign a unique visual ID for each node. Based on these IDs, we construct a hop-by-hop FIB-based forwarding strategy effectively. Furthermore, the Face duplication [1] in the wireless environment causes an all-broadcast problem. We add the visual information to Face to distinguish the incoming and outgoing Face to prevent broadcast-storm and make FIB and PIT work more accurate and efficiently. The performance evaluation results focusing on the communication overhead show that our proposal has better results in overall network traffic costs and Interest satisfaction ratio than previous works.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2022EDP7084/_p
Copier
@ARTICLE{e106-d_2_204,
author={Minh NGO, Satoshi OHZAHATA, Ryo YAMAMOTO, Toshihiko KATO, },
journal={IEICE TRANSACTIONS on Information},
title={A Visual-Identification Based Forwarding Strategy for Vehicular Named Data Networking},
year={2023},
volume={E106-D},
number={2},
pages={204-217},
abstract={Currently, NDN-based VANETs protocols have several problems with packet overhead of rebroadcasting, control packet, and the accuracy of next-hop selection due to the dynamic topology. To deal with these problems in this paper, we propose a robust and lightweight forwarding protocol in Vehicular ad-hoc Named Data Networking. The concept of our forwarding protocol is adopting a packet-free approach. A vehicle collects its neighbor's visual identification by a pair of cameras (front and rear) to assign a unique visual ID for each node. Based on these IDs, we construct a hop-by-hop FIB-based forwarding strategy effectively. Furthermore, the Face duplication [1] in the wireless environment causes an all-broadcast problem. We add the visual information to Face to distinguish the incoming and outgoing Face to prevent broadcast-storm and make FIB and PIT work more accurate and efficiently. The performance evaluation results focusing on the communication overhead show that our proposal has better results in overall network traffic costs and Interest satisfaction ratio than previous works.},
keywords={},
doi={10.1587/transinf.2022EDP7084},
ISSN={1745-1361},
month={February},}
Copier
TY - JOUR
TI - A Visual-Identification Based Forwarding Strategy for Vehicular Named Data Networking
T2 - IEICE TRANSACTIONS on Information
SP - 204
EP - 217
AU - Minh NGO
AU - Satoshi OHZAHATA
AU - Ryo YAMAMOTO
AU - Toshihiko KATO
PY - 2023
DO - 10.1587/transinf.2022EDP7084
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E106-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2023
AB - Currently, NDN-based VANETs protocols have several problems with packet overhead of rebroadcasting, control packet, and the accuracy of next-hop selection due to the dynamic topology. To deal with these problems in this paper, we propose a robust and lightweight forwarding protocol in Vehicular ad-hoc Named Data Networking. The concept of our forwarding protocol is adopting a packet-free approach. A vehicle collects its neighbor's visual identification by a pair of cameras (front and rear) to assign a unique visual ID for each node. Based on these IDs, we construct a hop-by-hop FIB-based forwarding strategy effectively. Furthermore, the Face duplication [1] in the wireless environment causes an all-broadcast problem. We add the visual information to Face to distinguish the incoming and outgoing Face to prevent broadcast-storm and make FIB and PIT work more accurate and efficiently. The performance evaluation results focusing on the communication overhead show that our proposal has better results in overall network traffic costs and Interest satisfaction ratio than previous works.
ER -