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Towards a Dynamic Vehicular Clustering Improving VoD Services on Vehicular Ad Hoc Networks

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Advances in Computational Collective Intelligence (ICCCI 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1653))

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Abstract

Nowadays, video-on-demand (VoD) applications are becoming one of the tendencies driving vehicular network users. In this paper, considering the unpredictable vehicle density, the unexpected acceleration or deceleration of the different cars included in the vehicular traffic load, and the limited radio range of the employed communication scheme, we introduce the “Dynamic Vehicular Clustering” (DVC) algorithm as a new scheme for video streaming systems over VANET. The proposed algorithm takes advantage of the concept of small cells and the introduction of wireless backhauls, inspired by the different features and the performance of the Long Term Evolution (LTE)- Advanced network. The proposed clustering algorithm considers multiple characteristics such as the vehicle’s position and acceleration to reduce latency and packet loss. Therefore, each cluster is counted as a small cell containing vehicular nodes and an access point that is elected regarding some particular specifications.

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Authors and Affiliations

  1. Department of Management Information Systems and Production Management, College of Business and Economics, Qassim University, 6633, Buraidah, 51452, Saudi Arabia

    Bechir Alaya, Lamaa Sellami & Mutiq Al Mutiq

  2. Hatem Bettaher Laboratory (IResCoMath), FSG, Gabes University, Gabes, Tunisia

    Bechir Alaya

  3. Commande Numérique des Procédés Industriels Laboratory (CONPRI), ENIG, Gabes University, Gabes, Tunisia

    Lamaa Sellami

Authors
  1. Bechir Alaya
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  2. Lamaa Sellami
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  3. Mutiq Al Mutiq
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Corresponding author

Correspondence to Bechir Alaya .

Editor information

Editors and Affiliations

  1. University of Craiova, Craiova, Romania

    Costin Bădică

  2. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Jan Treur

  3. Claude Bernard University Lyon 1, Villeurbanne Cedex, France

    Djamal Benslimane

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Bogumiła Hnatkowska

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Marek Krótkiewicz

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Alaya, B., Sellami, L., Al Mutiq, M. (2022). Towards a Dynamic Vehicular Clustering Improving VoD Services on Vehicular Ad Hoc Networks. In: Bădică, C., Treur, J., Benslimane, D., Hnatkowska, B., Krótkiewicz, M. (eds) Advances in Computational Collective Intelligence. ICCCI 2022. Communications in Computer and Information Science, vol 1653. Springer, Cham. https://doi.org/10.1007/978-3-031-16210-7_34

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  • DOI: https://doi.org/10.1007/978-3-031-16210-7_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16209-1

  • Online ISBN: 978-3-031-16210-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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