QoE Aware Video Streaming and Optimal Relay for Emergency Message Dissemination in Graph Based VANET

Aduomer Girmay Gebray; Dong Wang

doi:doi:10.11648/j.aas.20220701.11

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QoE Aware Video Streaming and Optimal Relay for Emergency Message Dissemination in Graph Based VANET

Aduomer Girmay Gebray, Dong Wang

Published in Advances in Applied Sciences (Volume 7, Issue 1)

Received: 12 January 2022 Accepted: 28 January 2022 Published: 16 February 2022

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Abstract

Vehicular Ad hoc Network (VANET) is a dynamic network environment that supports the transmission of any type of data that varies with size and delay constraints. VANET also enables to aid safety message forwarding in case of emergency by means of data dissemination. The major problematic issues in routing and data dissemination are delay and broadcast storm. With the advancements in VANET technology not only normal traffic data transmission but also video streaming is transmitted while the delay constraint has to be very less for video streaming. This article addresses these two problems by designing a graph aware network management for emergency message dissemination by selecting an optimal relay using multi-objective shuffled shepherd optimization algorithm that computes degree, goodness, waiting time, transmission range and link utility. Graph is constructed with the link stability, signal strength, distance and speed between vehicles. The selected relay vehicle from the graph is responsible to disseminate the safety message, which reduces the broadcast storm. The use of reinforcement learning is able to select the most suitable low delay neighbors for video streaming. In routing, the normal traffic data transmission is performed which is tolerable to delay, so Type-2 fuzzy logic is used with dynamic belief entropy that defines routes with the computation of quality of forwarding, bandwidth, distance and hop counts. This proposed work is implemented on OMNeT++ simulator and the results show better performances than the existing work in terms of packet delivery ratio, end-to-end delay, duplicate packets, throughput, and frame loss.

Published in	Advances in Applied Sciences (Volume 7, Issue 1)
DOI	10.11648/j.aas.20220701.11
Page(s)	1-14
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Emergency Dissemination, Graph Network, Video Streaming Relay, Selection, Traffic Routing

References

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APA Style

Aduomer Girmay Gebray, Dong Wang. (2022). QoE Aware Video Streaming and Optimal Relay for Emergency Message Dissemination in Graph Based VANET. Advances in Applied Sciences, 7(1), 1-14. https://doi.org/10.11648/j.aas.20220701.11

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ACS Style

Aduomer Girmay Gebray; Dong Wang. QoE Aware Video Streaming and Optimal Relay for Emergency Message Dissemination in Graph Based VANET. Adv. Appl. Sci. 2022, 7(1), 1-14. doi: 10.11648/j.aas.20220701.11

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AMA Style

Aduomer Girmay Gebray, Dong Wang. QoE Aware Video Streaming and Optimal Relay for Emergency Message Dissemination in Graph Based VANET. Adv Appl Sci. 2022;7(1):1-14. doi: 10.11648/j.aas.20220701.11

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@article{10.11648/j.aas.20220701.11,
  author = {Aduomer Girmay Gebray and Dong Wang},
  title = {QoE Aware Video Streaming and Optimal Relay for Emergency Message Dissemination in Graph Based VANET},
  journal = {Advances in Applied Sciences},
  volume = {7},
  number = {1},
  pages = {1-14},
  doi = {10.11648/j.aas.20220701.11},
  url = {https://doi.org/10.11648/j.aas.20220701.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aas.20220701.11},
  abstract = {Vehicular Ad hoc Network (VANET) is a dynamic network environment that supports the transmission of any type of data that varies with size and delay constraints. VANET also enables to aid safety message forwarding in case of emergency by means of data dissemination. The major problematic issues in routing and data dissemination are delay and broadcast storm. With the advancements in VANET technology not only normal traffic data transmission but also video streaming is transmitted while the delay constraint has to be very less for video streaming. This article addresses these two problems by designing a graph aware network management for emergency message dissemination by selecting an optimal relay using multi-objective shuffled shepherd optimization algorithm that computes degree, goodness, waiting time, transmission range and link utility. Graph is constructed with the link stability, signal strength, distance and speed between vehicles. The selected relay vehicle from the graph is responsible to disseminate the safety message, which reduces the broadcast storm. The use of reinforcement learning is able to select the most suitable low delay neighbors for video streaming. In routing, the normal traffic data transmission is performed which is tolerable to delay, so Type-2 fuzzy logic is used with dynamic belief entropy that defines routes with the computation of quality of forwarding, bandwidth, distance and hop counts. This proposed work is implemented on OMNeT++ simulator and the results show better performances than the existing work in terms of packet delivery ratio, end-to-end delay, duplicate packets, throughput, and frame loss.},
 year = {2022}
}

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TY  - JOUR
T1  - QoE Aware Video Streaming and Optimal Relay for Emergency Message Dissemination in Graph Based VANET
AU  - Aduomer Girmay Gebray
AU  - Dong Wang
Y1  - 2022/02/16
PY  - 2022
N1  - https://doi.org/10.11648/j.aas.20220701.11
DO  - 10.11648/j.aas.20220701.11
T2  - Advances in Applied Sciences
JF  - Advances in Applied Sciences
JO  - Advances in Applied Sciences
SP  - 1
EP  - 14
PB  - Science Publishing Group
SN  - 2575-1514
UR  - https://doi.org/10.11648/j.aas.20220701.11
AB  - Vehicular Ad hoc Network (VANET) is a dynamic network environment that supports the transmission of any type of data that varies with size and delay constraints. VANET also enables to aid safety message forwarding in case of emergency by means of data dissemination. The major problematic issues in routing and data dissemination are delay and broadcast storm. With the advancements in VANET technology not only normal traffic data transmission but also video streaming is transmitted while the delay constraint has to be very less for video streaming. This article addresses these two problems by designing a graph aware network management for emergency message dissemination by selecting an optimal relay using multi-objective shuffled shepherd optimization algorithm that computes degree, goodness, waiting time, transmission range and link utility. Graph is constructed with the link stability, signal strength, distance and speed between vehicles. The selected relay vehicle from the graph is responsible to disseminate the safety message, which reduces the broadcast storm. The use of reinforcement learning is able to select the most suitable low delay neighbors for video streaming. In routing, the normal traffic data transmission is performed which is tolerable to delay, so Type-2 fuzzy logic is used with dynamic belief entropy that defines routes with the computation of quality of forwarding, bandwidth, distance and hop counts. This proposed work is implemented on OMNeT++ simulator and the results show better performances than the existing work in terms of packet delivery ratio, end-to-end delay, duplicate packets, throughput, and frame loss.
VL  - 7
IS  - 1
ER  -

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Author Information

Aduomer Girmay Gebray

College of Computer Science and Electronic Engineering, Hunan University, Changsha, China
Dong Wang

College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

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APA Style

Aduomer Girmay Gebray, Dong Wang. (2022). QoE Aware Video Streaming and Optimal Relay for Emergency Message Dissemination in Graph Based VANET. Advances in Applied Sciences, 7(1), 1-14. https://doi.org/10.11648/j.aas.20220701.11

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ACS Style

Aduomer Girmay Gebray; Dong Wang. QoE Aware Video Streaming and Optimal Relay for Emergency Message Dissemination in Graph Based VANET. Adv. Appl. Sci. 2022, 7(1), 1-14. doi: 10.11648/j.aas.20220701.11

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AMA Style

Aduomer Girmay Gebray, Dong Wang. QoE Aware Video Streaming and Optimal Relay for Emergency Message Dissemination in Graph Based VANET. Adv Appl Sci. 2022;7(1):1-14. doi: 10.11648/j.aas.20220701.11

Copy | Download

@article{10.11648/j.aas.20220701.11,
  author = {Aduomer Girmay Gebray and Dong Wang},
  title = {QoE Aware Video Streaming and Optimal Relay for Emergency Message Dissemination in Graph Based VANET},
  journal = {Advances in Applied Sciences},
  volume = {7},
  number = {1},
  pages = {1-14},
  doi = {10.11648/j.aas.20220701.11},
  url = {https://doi.org/10.11648/j.aas.20220701.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aas.20220701.11},
  abstract = {Vehicular Ad hoc Network (VANET) is a dynamic network environment that supports the transmission of any type of data that varies with size and delay constraints. VANET also enables to aid safety message forwarding in case of emergency by means of data dissemination. The major problematic issues in routing and data dissemination are delay and broadcast storm. With the advancements in VANET technology not only normal traffic data transmission but also video streaming is transmitted while the delay constraint has to be very less for video streaming. This article addresses these two problems by designing a graph aware network management for emergency message dissemination by selecting an optimal relay using multi-objective shuffled shepherd optimization algorithm that computes degree, goodness, waiting time, transmission range and link utility. Graph is constructed with the link stability, signal strength, distance and speed between vehicles. The selected relay vehicle from the graph is responsible to disseminate the safety message, which reduces the broadcast storm. The use of reinforcement learning is able to select the most suitable low delay neighbors for video streaming. In routing, the normal traffic data transmission is performed which is tolerable to delay, so Type-2 fuzzy logic is used with dynamic belief entropy that defines routes with the computation of quality of forwarding, bandwidth, distance and hop counts. This proposed work is implemented on OMNeT++ simulator and the results show better performances than the existing work in terms of packet delivery ratio, end-to-end delay, duplicate packets, throughput, and frame loss.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - QoE Aware Video Streaming and Optimal Relay for Emergency Message Dissemination in Graph Based VANET
AU  - Aduomer Girmay Gebray
AU  - Dong Wang
Y1  - 2022/02/16
PY  - 2022
N1  - https://doi.org/10.11648/j.aas.20220701.11
DO  - 10.11648/j.aas.20220701.11
T2  - Advances in Applied Sciences
JF  - Advances in Applied Sciences
JO  - Advances in Applied Sciences
SP  - 1
EP  - 14
PB  - Science Publishing Group
SN  - 2575-1514
UR  - https://doi.org/10.11648/j.aas.20220701.11
AB  - Vehicular Ad hoc Network (VANET) is a dynamic network environment that supports the transmission of any type of data that varies with size and delay constraints. VANET also enables to aid safety message forwarding in case of emergency by means of data dissemination. The major problematic issues in routing and data dissemination are delay and broadcast storm. With the advancements in VANET technology not only normal traffic data transmission but also video streaming is transmitted while the delay constraint has to be very less for video streaming. This article addresses these two problems by designing a graph aware network management for emergency message dissemination by selecting an optimal relay using multi-objective shuffled shepherd optimization algorithm that computes degree, goodness, waiting time, transmission range and link utility. Graph is constructed with the link stability, signal strength, distance and speed between vehicles. The selected relay vehicle from the graph is responsible to disseminate the safety message, which reduces the broadcast storm. The use of reinforcement learning is able to select the most suitable low delay neighbors for video streaming. In routing, the normal traffic data transmission is performed which is tolerable to delay, so Type-2 fuzzy logic is used with dynamic belief entropy that defines routes with the computation of quality of forwarding, bandwidth, distance and hop counts. This proposed work is implemented on OMNeT++ simulator and the results show better performances than the existing work in terms of packet delivery ratio, end-to-end delay, duplicate packets, throughput, and frame loss.
VL  - 7
IS  - 1
ER  -

Copy | Download