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Available Bandwidth Estimation for Adaptive Video Streaming in Mobile Ad Hoc

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Available Bandwidth Estimation for Adaptive Video Streaming in Mobile Ad Hoc

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dc.contributor.author Castellanos, W. es_ES
dc.contributor.author Guerri Cebollada, Juan Carlos es_ES
dc.contributor.author Arce Vila, Pau es_ES
dc.date.accessioned 2021-01-21T04:31:38Z
dc.date.available 2021-01-21T04:31:38Z
dc.date.issued 2019-09 es_ES
dc.identifier.issn 1068-9605 es_ES
dc.identifier.uri http://hdl.handle.net/10251/159597
dc.description.abstract [EN] 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. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof International Journal of Wireless Information Networks es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Mobile ad hoc networks es_ES
dc.subject Available bandwidth estimation es_ES
dc.subject Video streaming es_ES
dc.subject Multi-bitrate video technique es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.subject.classification INGENIERIA TELEMATICA es_ES
dc.title Available Bandwidth Estimation for Adaptive Video Streaming in Mobile Ad Hoc es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10776-019-00431-0 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia es_ES
dc.description.bibliographicCitation Castellanos, W.; Guerri Cebollada, JC.; Arce Vila, P. (2019). Available Bandwidth Estimation for Adaptive Video Streaming in Mobile Ad Hoc. International Journal of Wireless Information Networks. 26(3):218-229. https://doi.org/10.1007/s10776-019-00431-0 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s10776-019-00431-0 es_ES
dc.description.upvformatpinicio 218 es_ES
dc.description.upvformatpfin 229 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 26 es_ES
dc.description.issue 3 es_ES
dc.relation.pasarela S\400825 es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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). es_ES
dc.description.references 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. es_ES
dc.description.references 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 . es_ES
dc.description.references 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. es_ES
dc.description.references 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 . es_ES
dc.description.references 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. es_ES
dc.description.references M. Airon, and N. Gupta. Bandwidth Estimation Tools and Techniques: A Review. (2017). https://doi.org/10.20944/preprints201710.0060.v1 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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. es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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. es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references 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). es_ES
dc.description.references 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 . es_ES
dc.description.references 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 . es_ES
dc.description.references Video Traces Research Group: YUV Sequences, http://trace.eas.asu.edu/yuv/index.html . es_ES
dc.description.references ITU-T: Recommendation H.265 High efficiency video coding, https://www.itu.int/rec/T-REC-H.265-201802-I/en , (2018). es_ES
dc.description.references 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). es_ES


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