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SAFT-VNDN: A Socially-Aware Forwarding Technique in Vehicular Named Data Networking

Amel Boudelaa1, Zohra Abdelhafidi1, Nasreddine Lagraa1, Chaker Abdelaziz Kerrache1, Muhammad Bilal2, Daehan Kwak3,*, Mohamed Bachir Yagoubi1

1 Laboratoire d’Informatique et de Mathématiques, Université Amar Telidji de Laghouat, Laghouat, Algeria
2 Department of Computer and Electronics Systems Engineering, Hankuk University of Foreign Studies, Yongin-si, 17035, Gyeonggi-do, Korea
3 School of Computer Science and Technology, Kean University, NJ, USA

* Corresponding Author: Daehan Kwak. Email: email

Computers, Materials & Continua 2022, 73(2), 2495-2512. https://doi.org/10.32604/cmc.2022.028619

Abstract

Vehicular Social Networks (VSNs) is the bridge of social networks and Vehicular Ad-Hoc Networks (VANETs). VSNs are promising as they allow the exchange of various types of contents in large-scale through Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication protocols. Vehicular Named Data Networking (VNDN) is an auspicious communication paradigm for the challenging VSN environment since it can optimize content dissemination by decoupling contents from their physical locations. However, content dissemination and caching represent crucial challenges in VSNs due to short link lifetime and intermittent connectivity caused by vehicles’ high mobility. Our aim with this paper is to improve content delivery and cache hit ratio, as well as decrease the transmission delay between end-users. In this regard, we propose a novel hybrid VNDN-VSN forwarding technique based on social communities, which allows requester vehicles to easily find the most suitable forwarder or producer among the community members in their neighborhood area. Furthermore, we introduce an effective caching mechanism by dividing the content store into two parts, one for community private contents and the second one for public contents. Simulation results show that our proposed forwarding technique can achieve a favorable performance compared with traditional VNDN, in terms of data delivery ratio, average data delivery delay, and cache hit ratio.

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Cite This Article

APA Style
Boudelaa, A., Abdelhafidi, Z., Lagraa, N., Kerrache, C.A., Bilal, M. et al. (2022). SAFT-VNDN: A socially-aware forwarding technique in vehicular named data networking. Computers, Materials & Continua, 73(2), 2495-2512. https://doi.org/10.32604/cmc.2022.028619
Vancouver Style
Boudelaa A, Abdelhafidi Z, Lagraa N, Kerrache CA, Bilal M, Kwak D, et al. SAFT-VNDN: A socially-aware forwarding technique in vehicular named data networking. Comput Mater Contin. 2022;73(2):2495-2512 https://doi.org/10.32604/cmc.2022.028619
IEEE Style
A. Boudelaa et al., “SAFT-VNDN: A Socially-Aware Forwarding Technique in Vehicular Named Data Networking,” Comput. Mater. Contin., vol. 73, no. 2, pp. 2495-2512, 2022. https://doi.org/10.32604/cmc.2022.028619



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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