2020 29th International Conference on Computer Communications and Networks (ICCCN) 2020
DOI: 10.1109/icccn49398.2020.9209735
|View full text |Cite
|
Sign up to set email alerts
|

Evaluating the Use of QoS for Video Delivery in Vehicular Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 6 publications
(7 citation statements)
references
References 13 publications
0
7
0
Order By: Relevance
“…A preliminary core version of the VDSF-VN framework was used in previous studies, in which various experimental setups were used to test different aspects of the HEVC video encoder. For example, in [41][42][43], we applied techniques such as (i) intra-refresh video coding modes; (ii) frame partitioning (tiles/slices); and (iii) quality of service at the medium access control (MAC) level, in order to reduce the degradation in video quality produced by impairments arising from vehicular transmission. These works present the simulation results in the form of plots and tables provided by the VDSF-VN tool, giving consistent results that are coherent with those provided by other authors in the literature, and as a consequence from different simulation tools.…”
Section: Discussionmentioning
confidence: 99%
“…A preliminary core version of the VDSF-VN framework was used in previous studies, in which various experimental setups were used to test different aspects of the HEVC video encoder. For example, in [41][42][43], we applied techniques such as (i) intra-refresh video coding modes; (ii) frame partitioning (tiles/slices); and (iii) quality of service at the medium access control (MAC) level, in order to reduce the degradation in video quality produced by impairments arising from vehicular transmission. These works present the simulation results in the form of plots and tables provided by the VDSF-VN tool, giving consistent results that are coherent with those provided by other authors in the literature, and as a consequence from different simulation tools.…”
Section: Discussionmentioning
confidence: 99%
“…node [10] node [9] node [8] node [7] node [6] node [5] node [4] node [3] node[2] node [1] rsu[0] node [10] node [9] node [8] node [7] node [6] node [5] node [4] node [3] node In Figure 5, the MAC scheduling of these packets is shown during the same "sync interval". As shown in Figure 4, each square block indicates the exact simulation time in which each packet is sent to the wireless channel, but here, the size (width) of each block represents its length or duration.…”
Section: Simulation Time (S) Rsu[0]mentioning
confidence: 99%
“…rsu[0] node [10] node [9] node [8] node [7] node [6] node [5] node [4] node [3] node[2] node [1] rsu[0] node [10] node [9] node [8] node [7] node [6] node [5] node [4] node [3] node [10] node [9] node [8] node [7] node [6] node [5] node [4] node [3] node[2] node [1] rsu[0] node [10] node [9] node [8] node [7] node [6] node [5] node [4] node [3] node In Figure 5b, we show how data packets are managed at the MAC layer when we apply our SkipCCH proposal (SkipCCH on), which successfully avoids the high-contention phase at the beginning of the SCH time slot. If we focus on the zoomed area, with the default mechanism, we can observe that 22 video packets and very few background packets (6) have been sent.…”
Section: Simulation Time (S)mentioning
confidence: 99%
See 1 more Smart Citation
“…Recently, various ideas to address this issue have been put up. Reference [10] reduces video quality degradation caused by transmission impairments by combining techniques of intra-refresh video coding mode, frame segmentation, and quality of service (MAC) levels at media access control. The findings demonstrate that combining the suggested strategies greatly increases the video transmission's robustness for connected vehicle applications.…”
Section: Video Streaming In Vehicular Networkmentioning
confidence: 99%