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

EasyChair Preprint 8919

Abstract

Nowadays, video-on-demand (VoD) applications are becoming one of the tendencies driving vehicular network users. In this paper, considering the unpre-dictable vehicle density, the unexpected acceleration or deceleration of the differ-ent cars included in the vehicular traffic load, and the limited radio range of the employed communication scheme, we introduce the “Dynamic Vehicular Cluster-ing” (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 vehi-cle’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.

Keyphrases: LTE-Advanced, Latency, Mobility, Small Cell, Vehicular Ad-hoc Network, Vehicular Traffic Load, Video on Demand, packet loss, wireless backhaul

@booklet{EasyChair:8919,
  author    = {Bechir Alaya and Sellami Lamaa and Mutik Al Mutiq},
  title     = {Towards a Dynamic Vehicular Clustering Improving VoD Services on Vehicular Ad Hoc Networks},
  howpublished = {EasyChair Preprint 8919},
  year      = {EasyChair, 2022}}