Link efficiency and quality of experience aware routing protocol to improve video streaming in urban VANETs

Smida, Emna Bouzid; Fantar, Sonia Gaied; Youssef, Habib

doi:10.1002/dac.4209

Cited by 3 publications

(3 citation statements)

References 24 publications

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“…On the other hand the routing was also performed for video streaming from source to destination. The authors of [29] paper have proposed video streaming using link efficiency and quality of experience aware routing protocol (LEQRV). In this work, an enhanced greedy forwarding based approach was used which identifies a stable route.…”

Section: Vanet Research On Routingmentioning

confidence: 99%

“…Here the Mean Opinion Score (MOS), position, direction, link quality, link lifetime, density and buffer-free level were computed and then vehicle was selected. If vehicle not present in neighbour table, then distance was estimated from the Q-table which was maintained on the reinforcement learning algorithm [29]. After selection of a vehicle, the video packet was sent to the destination.…”

Section: Vanet Research On Routingmentioning

confidence: 99%

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

Gebray¹,

Wang²

2022

AAS

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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.

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Section: Vanet Research On Routingmentioning

confidence: 99%

Section: Vanet Research On Routingmentioning

confidence: 99%

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

Gebray¹,

Wang²

2022

AAS

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show abstract

“…The delay in increased data forwarding is not suitable for a high dynamic vehicle network. For video streaming, routing is enabled by taking into account two main constraints: link efficiency and quality of experience (QoE) [19]. The reinforcement learning of Q-learning is used to validate the predicted distance, and then it selects the next forwarder.…”

Section: Related Workmentioning

confidence: 99%

Multi-Objective Harris Hawks Optimization Algorithm Based 2-Hop Routing Algorithm for CR-VANET

et al. 2021

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Vehicular Ad Hoc Network (VANET) emerges to ameliorate road accident, traffic congestion, and infotainment. Cognitive radio (CR) is integrated with VANET (termed as CR-VANET) to deal with the spectrum scarcity problems. For better data transmission, routing is very important in a highly dynamic CR-VANET environment. Routing in CR-VANET has several challenges due to vehicles' high-speed movements and channel accessibility issues. This paper proposes a 2-Hop routing algorithm based on the Multi-Objective Harris Hawks Optimization (2HMO-HHO) algorithm that chooses the optimal forwarders between the source and destination vehicles. Selecting 2-hops instead of multiple hops or the entire route increases the selected route's stability and assures successful data transmission. The simulations performed in OMNeT++ with SUMO show that the proposed algorithm achieves promising results on throughput, delay, packet delivery ratio, packet loss rate and communication overhead.INDEX TERMS VANET; routing algorithm; 2-hop routing; Harris Hawks Optimization; cognitive radio; throughput; packet delivery ratio; delay; packet loss rate; communication overhead.

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Exploring Multimedia Streaming Protocols in VANET: A Systematic Review

Benzerogue,

Abdelatif,

Merniz

et al. 2024

2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)

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Link efficiency and quality of experience aware routing protocol to improve video streaming in urban VANETs

Cited by 3 publications

References 24 publications

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

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

Multi-Objective Harris Hawks Optimization Algorithm Based 2-Hop Routing Algorithm for CR-VANET

Exploring Multimedia Streaming Protocols in VANET: A Systematic Review

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