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Available Bandwidth Estimation for Adaptive Video Streaming in Mobile Ad Hoc

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Abstract

We propose in this paper an algorithm for available bandwidth estimation in mobile ad hoc networks and its integration into a conventional routing protocol like AODV for improving the rate-adaptive video streaming. We have introduced in our approach a local estimation of the available bandwidth as well as a prediction of the consumed bandwidth. This information allows video application to adjust its transmission rate avoiding network congestion. We conducted a performance evaluation of our solution through simulation experiments using two network scenarios. In the simulation study, transmission of video streams encoded with the H.264/MPEG-4 advanced video coding standard was evaluated. The results reveal performance improvements in terms of packet loss, delay and PSNR.

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References

  1. E. Khorov, A. Krasilov, A. Krotov and A. Lyakhov, Will MCCA revive wireless multihop networks?, Computer Communications, Vol. 104, pp. 159–174, 2017. https://doi.org/10.1016/j.comcom.2016.10.004.

    Article  Google Scholar 

  2. R. Immich, E. Cerqueira and M. Curado, Efficient high-resolution video delivery over VANETs, Wireless Networks, 2018. https://doi.org/10.1007/s11276-018-1687-2.

    Google Scholar 

  3. M. Usman, M. A. Jan, X. He and M. Alam, Performance evaluation of High Definition video streaming over Mobile Ad Hoc Networks, Signal Processing, Vol. 148, pp. 303–313, 2018. https://doi.org/10.1016/j.sigpro.2018.02.030.

    Article  Google Scholar 

  4. J. Liu, X. Yuan, H. Qian, Y. Cheng and F. Liu, Research on video transmission Ad Hoc network routing technology oriented multimedia applications, Journal of Intelligent & Fuzzy Systems, Vol. 34, pp. 879–886, 2018. https://doi.org/10.3233/JIFS-169381.

    Article  Google Scholar 

  5. W. Castellanos, J. C. Guerri and P. Arce, Performance evaluation of scalable video streaming in mobile ad hoc networks, IEEE Latin America Transactions, Vol. 14, pp. 122–129, 2016. https://doi.org/10.1109/TLA.2016.7430071.

    Article  Google Scholar 

  6. L. Sharma, C. Lal, D. P. Sharma, and P. Kaliyar. Enhancing QoS for multimedia services using mobility-aware bandwidth estimation algorithm in MANETs. In Optical and Wireless Technologies. pages 655–666. Springer, Singapore (2018). https://doi.org/10.1007/978-981-10-7395-3_73.

  7. W. Castellanos Hernandez. Quality of Service Routing and Mechanisms for Improving Video Streaming over Mobile Wireless Ad hoc Networks, https://riunet.upv.es/bitstream/handle/10251/53238/CASTELLANOS%20-%20Quality%20of%20Service%20Routing%20and%20Mechanisms%20for%20Improving%20Video%20Streaming%20over%20Mobile….pdf?cv=1&isAllowed=y&sequence=10, (2015).

  8. P. I. Basarkod and S. S. Manvi, On-demand bandwidth and stability based unicast routing in mobile adhoc networks, International Journal of Electronics and Telecommunications, Vol. 60, pp. 20–32, 2014.

    Article  Google Scholar 

  9. Y. Peng, and Z. Yan. Available bandwidth estimating method in IEEE802.11e based mobile ad hoc network. In 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). pages 2138–2142., Chongqing (2012). https://doi.org/10.1109/FSKD.2012.6234276.

  10. D. Salcedo, J. Guerrero and C. D. Guerrero, Overhead in available bandwidth estimation tools: evaluation and analysis, International Journal of Communication Networks and Information Security, Vol. 9, pp. 393–404, 2017.

    Google Scholar 

  11. X. Zhen and Y. Wenzhong, Bandwidth-aware routing for TDMA-based mobile ad hoc networks, International Conference on Information Networking ICOIN, 2013. https://doi.org/10.1109/ICOIN.2013.6496701.

    Google Scholar 

  12. D. Salcedo, C. Guerrero, and R. Martínez, Available bandwidth estimation tools metrics, approaches and performance, International Journal of Communication Networks and Information Security (IJCNIS), Vol. 10, pp. 580–587, 2018.

    Google Scholar 

  13. M. Airon, and N. Gupta. Bandwidth Estimation Tools and Techniques: A Review. (2017). https://doi.org/10.20944/preprints201710.0060.v1.

  14. S. S. Chaudhari and R. C. Biradar, Survey of bandwidth estimation techniques in communication networks, Wireless Personal Communications, Vol. 83, pp. 1–52, 2015. https://doi.org/10.1007/s11277-015-2459-2.

    Article  Google Scholar 

  15. A. Lie and J. Klaue, Evalvid-RA: trace driven simulation of rate adaptive MPEG-4 VBR video, Multimedia Systems Journal, Vol. 14, pp. 33–50, 2008. https://doi.org/10.1007/s00530-007-0110-0.

    Article  Google Scholar 

  16. A. K. Paul, A. Tachibana and T. Hasegawa, An enhanced available bandwidth estimation technique for an end-to-end network path, IEEE Transactions on Network and Service Management, Vol. 13, pp. 768–781, 2016. https://doi.org/10.1109/TNSM.2016.2572212.

    Article  Google Scholar 

  17. A. Farshad, M. Lee, M. K. Marina, F. Garcia. On the impact of 802.11n frame aggregation on end-to-end available bandwidth estimation. In Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). pages 108–116., Singapore (2014). https://doi.org/10.1109/SAHCN.2014.6990333.

  18. X. Liao, Z. Yang, and P. Yuan. An unscented Kalman filter based available bandwidth estimation algorithm for space bundle links. In 9th International Conference on Wireless Communications and Signal Processing (WCSP), pages 1–6 (2017). https://doi.org/10.1109/WCSP.2017.8171064.

  19. R. Suganya and L. S. Jayashree, Fuzzy rough set inspired rate adaptation and resource allocation using Hidden Markov Model (FRSIRA-HMM) in mobile ad hoc networks, Cluster Comput, 2018. https://doi.org/10.1007/s10586-018-1783-1.

    Google Scholar 

  20. A. S. Avestimehr, S. N. Diggavi and D. N. C. Tse, Wireless network information flow: a deterministic approach, IEEE Transactions on Information Theory, Vol. 57, pp. 1872–1905, 2011. https://doi.org/10.1109/TIT.2011.2110110.

    Article  MathSciNet  MATH  Google Scholar 

  21. X. Zhang, T. M. T. Nguyen, and G. Pujolle. Kalman filter based bandwidth estimation and predictive flow distribution for concurrent multipath transfer in wireless networks. In 3rd IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC). pages 305–309., Beijing (2012). https://doi.org/10.1109/ICNIDC.2012.6418765.

  22. Z. S. Houssaini, I. Zaimi, M. Drissi, M. Oumsis and S. E. A. Ouatik, Trade-off between accuracy, cost, and QoS using a beacon-on-demand strategy and Kalman filtering over a VANET, Digital Communications and Networks, Vol. 4, pp. 13–26, 2018. https://doi.org/10.1016/j.dcan.2017.09.001.

    Article  Google Scholar 

  23. U. C. Nguyen, D. T.Tran, G. V.Nguyen. A taxonomy of applying filter techniques to improve the available bandwidth estimations. In Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication. pages 18:1–18:8. ACM, New York, NY, USA (2014). https://doi.org/10.1145/2557977.2558004.

  24. H. Liu and L. Cheng, Available bandwidth estimation strategy based on the network allocation vector, Journal of Networking, Vol. 7, pp. 2089–2095, 2012. https://doi.org/10.4304/jnw.7.12.2089-2095.

    Google Scholar 

  25. E. P. da Silva Mineiro and D. C. Muchaluat-Saade, CAC-OLSR: extending OLSR to provide admission control in wireless mesh networks, International Journal of Wireless Information Networks, Vol. 21, pp. 223–237, 2014. https://doi.org/10.1007/s10776-014-0242-z.

    Article  Google Scholar 

  26. G. S. Gowda, P. C. Srikrishna and K. D. Dhruve, Wireless measurement scheme for bandwidth estimation in multihop wireless adhoc network, Global Journal of Computer Science and Technology, Vol. 13, p. 11, 2013.

    Google Scholar 

  27. S. S. Chaudhari, and R. C. Biradar. Collision probability based available bandwidth estimation in mobile ad hoc networks. In 2014 Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT). pages 244–249., Bengaluru (2014). https://doi.org/10.1109/ICADIWT.2014.6814665.

  28. T. Yang, Y. Jin, Y. Chen, and Y. Jin. RT-WABest: A novel end-to-end bandwidth estimation tool in IEEE 802.11 wireless network. International Journal of Distributed Sensor Networks 13, 1550147717694889 (2017). https://doi.org/10.1177/1550147717694889.

  29. M. Manimekalai and S. Anitha, Quality of service routing based on bandwidth estimation for mobile ad hoc networks, International Journal of Computer Science Engineering and Technology, Vol. 6, p. 195, 2016.

    Google Scholar 

  30. J. Li, C. Blake, D. S. J. D. Couto, H. I. Lee, and R. Morris. Capacity of Ad Hoc wireless networks. In Proceedings of the 7th annual international conference on Mobile computing and networking. pages 61–69. ACM, New York, NY, USA (2001). https://doi.org/10.1145/381677.381684.

  31. H. Zhao, S. Wang, Y. Xi and J. Wei, Modeling intra-flow contention problem in IEEE 802.11 wireless multi-hop networks, IEEE Communications Letters, Vol. 14, pp. 18–20, 2010. https://doi.org/10.1109/LCOMM.2010.01.090224.

    Article  Google Scholar 

  32. C. Sarr, C. Chaudet, G. Chelius and I. G. Lassous, A node-based available bandwidth evaluation in IEEE 802.11 ad hoc networks, International Conference on Parallel and Distributed Systems, Vol. 2, pp. 68–72, 2006. https://doi.org/10.1109/ICPADS.2005.37.

    MATH  Google Scholar 

  33. B. M. Nyambo, G. K. Janssens and W. Lamote, Bandwidth estimation in wireless mobile ad hoc networks, Journal of Ubiquitous Systems and Pervasive Networks, Vol. 6, p. 8, 2015. https://doi.org/10.5383/JUSPN.06.02.003.

    Google Scholar 

  34. S. H. Shah, K. Chen and K. Nahrstedt, Dynamic bandwidth management in single-hop ad hoc wireless networks, Mobile Networks and Applications, Vol. 10, pp. 199–217, 2005. https://doi.org/10.1023/B:MONE.0000048555.72514.9a.

    Article  Google Scholar 

  35. C. Perkins, E. Belding-Royer, and S. Das. Ad hoc On-Demand Distance Vector (AODV) Routing, RFC 3561, http://tools.ietf.org/html/rfc3561, (2003).

  36. R. de Renesse, V. Friderikos, and H. Aghvami. Towards providing adaptive quality of service in mobile ad-hoc networks. In IEEE 63rd Vehicular Technology Conference. pages 518–522., Melbourne, Australia (2006). https://doi.org/10.1109/VETECS.2006.1682878.

  37. J. Dai, K. Ishibashi and Y. Yamao, Highly efficient multi-hop packet transmission using intra-flow interference cancellation and maximal-ratio combining, IEEE Transactions on Wireless Communications, Vol. 14, pp. 5998–6011, 2015. https://doi.org/10.1109/TWC.2015.2446978.

    Article  Google Scholar 

  38. Video Traces Research Group: YUV Sequences, http://trace.eas.asu.edu/yuv/index.html.

  39. ITU-T: Recommendation H.265 High efficiency video coding, https://www.itu.int/rec/T-REC-H.265-201802-I/en, (2018).

  40. International Organization for Standardization: ISO/IEC 23009-1 Information technology—Dynamic adaptive streaming over HTTP (DASH), https://standards.iso.org/ittf/PubliclyAvailableStandards/index.html, (2014).

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Castellanos, W., Guerri, J.C. & Arce, P. Available Bandwidth Estimation for Adaptive Video Streaming in Mobile Ad Hoc. Int J Wireless Inf Networks 26, 218–229 (2019). https://doi.org/10.1007/s10776-019-00431-0

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