'Institute of Electrical and Electronics Engineers (IEEE)'
Abstract
This is an accepted manuscript of an article published by IEEE Multimedia Communications Technical Committee in MMTC Communications – Frontiers on 31/07/2020, available online: https://mmc.committees.comsoc.org/files/2020/07/MMTC_Communication_Frontier_July_2020.pdf
The accepted version of the publication may differ from the final published version.An evolved form of Vehicular Ad hoc Networks (VANET) has recently emerged as the Internet of Vehicles (IoV). Though, there
are still some challenges that need to be addressed in support IoV applications. The objective of this research is to achieve an
efficient video content transmission over vehicular networks. We propose a balanced video-forwarding algorithm for delivering
video-based content delivery scheme. The available neighboring vehicles will be ranked to the vehicle in forwarding progress
before transmitting the video frames using proposed multi-score function. Considering the current beacon reception rate,
forwarding progress and direction to destination, in addition to residual buffer length; the proposed algorithm can elect the best
candidate to forward the video frames to the next highest ranked vehicles in a balanced way taking in account their residual buffer
lengths. To facilitate the proposed video content delivery scheme, an approach of H.264/SVC was improvised to divide video
packets into various segments, to be delivered into three defined groups. These created segments can be encoded and decoded
independently and integrated back to produce the original packet sent by source vehicle. Simulation results demonstrate the
efficiency of our proposed algorithm in improving the perceived video quality compared with other approache