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

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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  • Amel Boudelaa
  • Zohra Abdelhafidi
  • Nasreddine Lagraa
  • Chaker Abdelaziz Kerrache
  • Muhammad Bilal
  • Daehan Kwak
  • Mohamed Bachir Yagoubi
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<mark>Journal publication date</mark>16/06/2022
<mark>Journal</mark>Computers, Materials and Continua
Issue number2
Volume73
Number of pages18
Pages (from-to)2495-2512
Publication StatusPublished
<mark>Original language</mark>English

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.