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Enhancing QoE for video streaming in MANETs via multi-constraint routing

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Abstract

In this paper, we propose a Multi-Constraint Quality-of-Experience (QoE) centric Routing (MCQR) technique for efficient real-time video streaming over Mobile Ad-hoc Networks (MANETs). The dynamic estimation of link quality metric during MCQR route discovery process is the key of enhancing QoE at end user. MCQR limits end-to-end delay and jitter of received data packets by selecting long lifetime routes with maximum permissible delay. This minimizes the distortion caused fluctuations in perceived video. To prove the effectiveness of MCQR for real-time video streaming, we have designed a hybrid MANET consisting of simulated nodes and physical machines. In our hybrid network, the source and destination nodes are video traffic generators and receivers running on physical devices. Emulation results are obtained using real-time video streaming over high fidelity virtual wireless network, and conforming that the MCQR protocol provides satisfactory QoE to end users as compared to existing similar techniques. The packet delivery ratio of MCQR is higher than 90 % and its mean opinion score is higher than three (i.e., satisfactory) even when mobility and shadowing effects are kept high in target network scenarios. These improvements are achieved along with still maintaining similar or better routing overhead and processing delays.

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Notes

  1. “ITU-T Recommandation, ”p. 10/g.100. Vocabulary for Performance and Quality of Service (QoS), 2008.

  2. A longer route may be selected if criterion of highest SINR link is applied.

  3. These changes are caused by shadowing or small duration sudden interferences due to data bursts in video traffic.

  4. This is initialization as no intermediate nodes have been investigated yet.

  5. This value is selected considering that longer window size may include stale information while using very small period may not be reflect link quality fluctuations caused by mobility or shadowing.

  6. This could happen because node X have not received any RREQ message over these links or the SINR of received RREQ message is lower than \(SINR_{min}\).

  7. MOS is a standard metric specified by ITU-T to evaluate the quality of video and voice applications over an IP network

  8. It is the ratio of total time for which the received video playout fluently to the total length of the video.

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Acknowledgments

Mauro Conti is supported by a Marie Curie Fellowship funded by the European Commission (Agreement PCIG11-GA-2012-321980). This work is also partially supported by the EU TagItSmart! Project (Agreement H2020-ICT30-2015-688061), the EU-India REACH Project (Agreement ICI+/2014/342-896), the Italian MIUR-PRIN TENACE Project (Agreement 20103P34XC), and by the projects “Tackling Mobile Malware with Innovative Machine Learning Techniques”, “Physical-Layer Security for Wireless Communication”, and “Content Centric Networking: Security and Privacy Issues” funded by the University of Padua.

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Authors and Affiliations

  1. Computer Engineering Department, Malaviya National Institute of Technology, Jaipur, India

    Chhagan Lal, Vijay Laxmi & Manoj Singh Gaur

  2. Department of Mathematics, University of Padova, Padova, Italy

    Chhagan Lal & Mauro Conti

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  1. Chhagan Lal
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  2. Vijay Laxmi
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  3. Manoj Singh Gaur
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Correspondence to Chhagan Lal.

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Lal, C., Laxmi, V., Gaur, M.S. et al. Enhancing QoE for video streaming in MANETs via multi-constraint routing. Wireless Netw 24, 235–256 (2018). https://doi.org/10.1007/s11276-016-1325-9

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