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Title: Skipping-based handover algorithm for video distribution over ultra-dense VANET
Author: Costa, Allan
Pacheco, Lucas
Rosário, Denis
Villas, Leandro
Loureiro, Antonio A.F.
Sargento, Susana
Cerqueira, Eduardo
Keywords: VANETs
Mobility prediction
Ultra-dense network
Issue Date: 20-Jul-2020
Publisher: Elsevier
Abstract: Next-generation networks will pave the way for video distribution over vehicular Networks (VANETs), which will be composed of ultra-dense heterogeneous radio networks by considering existing communication infrastructures to achieve higher spectral efficiency and spectrum reuse rates. However, the increased number of cells makes mobility management schemes a challenging task for 5G VANET, since vehicles frequently switch among different networks, leading to unnecessary handovers, higher overhead, and ping-pong effect. In this sense, an inefficient handover algorithm delivers videos with poor Quality of Experience (QoE), caused by frequent and ping-pong handover that leads to high packets/video frames losses. In this article, we introduce a multi-criteria skipping-based handover algorithm for video distribution over ultra-dense 5G VANET, called Skip-HoVe. It considers a skipping mechanism coupled with mobility prediction, Quality of Service (QoS)- and QoE-aware decision, meaning the handovers are made more reliable and less frequently. Simulation results show the efficiency of Skip-HoVe to deliver videos with Mean Opinion Score (MOS) 30% better compared to state-of-the-art algorithms while maintaining a ping-pong rate around 2%.
Peer review: yes
DOI: 10.1016/j.comnet.2020.107252
ISSN: 1389-1286
Appears in Collections:DETI - Artigos

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