Q-RoSA: QoE-aware routing for SVC video streaming over ad-hoc networks

Quang, Pham Tran Anh; Piamrat, Kandaraj; Singh, Kamal Deep; Viho, César

doi:10.1109/ccnc.2016.7444863

Cited by 3 publications

(3 citation statements)

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“…The MANET allows a mobile terminal to interconnect by a remote terminal over many hops on further mobile terminals. If nodes in a are mobile and can move around, we denote it as a mobile ad hoc network (MANET) [16], [17].…”

Section: A Mobile Ad Hoc Network (Manet)mentioning

confidence: 99%

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QoE ROUTING OF VIDEO STREAMING OVER MANET BY USING NS3,VLC,LXC

Jabbar

Salman

2019

J. Al-Qadisiyah Comp. Sci. Math.

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As technology is advancing the demand on video streaming which is one of the technologies increasing every day. From Through the last years, numerous researchers have presented various techniques and several algorithms for correct and dependable video streaming. In this paper, proposed system methods are introduced based on the described model of the network. The main flowchart is presented for the working procedure of the considered MANET to simulate video streaming between the nodes through VLC media player. In addition, it extraction the features of video and the original quality of experience (QoE) take it from an international dataset. Then describing and applying the neural network algorithm to training all videos in dataset. Finally test the video in this neural network and finding new QoE, the experiment begins with entering video and then streaming it by the VLC and sending it throw the MANET network, the video received by another VLC. The received videos are stored in the VLC and then the features extraction is applied for all the received videos. These features are used as an input in a neural network which gives result as new QoE videos scores. The results of new QoE score are compared with the original quality of experience score which is found in the dataset. The best qualified video is the one that is close to the original quality of experience video. two examples are applied in this paper that shows the aim of the system. The suggested system achieves 6 % average error and succeeded in transforming video with high average quality up to 94%.

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Section: A Mobile Ad Hoc Network (Manet)mentioning

confidence: 99%

“…Plus a 5-point scale. [1], [2], [3] [4]. Where the contribution of this paper : modify on BRISQUE algorithm to deal with video and connect VLC media player with mobile ad hoc network.…”

mentioning

confidence: 99%

QoE ROUTING OF VIDEO STREAMING OVER MANET BY USING NS3,VLC,LXC

Jabbar

Salman

2019

J. Al-Qadisiyah Comp. Sci. Math.

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“…They used controller-assisted routing to increase the total throughput to maximum using ant colony optimization. Also, the authors of [8] formulated a quality of experience routing over wireless multi-hop networks under time-constraints. They proposed a heuristic algorithm to speed up finding solutions.…”

Section: Introductionmentioning

confidence: 99%

Optimal resource allocation for route selection in ad-hoc networks

Farhan¹,

Croock²

2021

TELKOMNIKA

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Nowadays, the selection of the optimum path in mobile ad hoc networks (MANETS) is being an important issue that should be solved smartly. In this paper, an optimal path selection method is proposed for MANET using the Lagrange multiplier approach. The optimization problem considers the objective function of maximizing bit rate, under the constraints of minimizing the packet loss, and latency. The obtained simulation results show that the proposed Lagrange optimization of rate, delay, and packet loss algorithm (LORDP) improves the selection of optimal path in comparison to ad-hoc ondemand distance vector protocol (AODV). We increased the performance of the system by 10.6 Mbps for bit rate and 0.133 ms for latency.

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