2019
DOI: 10.1016/j.vehcom.2018.11.004
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Enhanced adaptive cross-layer scheme for low latency HEVC streaming over Vehicular Ad-hoc Networks (VANETs)

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Cited by 9 publications
(6 citation statements)
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References 37 publications
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“…The study concluded that the algorithm's performance began to decline when the compression ratio reached a certain threshold. Labiod et al [111] proposed a cross-layer mechanism to improve HEVC video streaming in vehicular networks while adhering to low delay constraints. Simulated assessments conducted in both suburban and urban vehicular environments showcased substantial enhancements in video quality at the receiver, coupled with notable improvements in end-to-end latency, which were attributed to the proposed mechanism.…”
Section: Hevcmentioning
confidence: 99%
“…The study concluded that the algorithm's performance began to decline when the compression ratio reached a certain threshold. Labiod et al [111] proposed a cross-layer mechanism to improve HEVC video streaming in vehicular networks while adhering to low delay constraints. Simulated assessments conducted in both suburban and urban vehicular environments showcased substantial enhancements in video quality at the receiver, coupled with notable improvements in end-to-end latency, which were attributed to the proposed mechanism.…”
Section: Hevcmentioning
confidence: 99%
“…One channel is reserved as a control channel (CCH), four channels are allocated as service channels (SCHs), and two are for future use. to each AC, refer [39]. Consider the following parameter settings.…”
Section: ) Calculating Channel Waiting Time (Cwt)mentioning
confidence: 99%
“…However, the efficiency of video encoding was significantly poor in video prediction. Labiod et al (2019b) developed an adaptive cross-layer model for video streaming in 5G network. The cross-layer model increased the performance of video streaming under fewer delay constraints.…”
Section: Resource Reuse-based Communication Techniquesmentioning
confidence: 99%