Julio Cano
ABSTRACT
The increase in the number of mobile devices accessing the Internet creates new problems. A specific case is when a large number of wireless clients try to access the same video stream in the same hot spot, which requires multicast transmission. However, multicast packets are unconfirmed and to compensate their higher loss rate we propose using a feedback repeat request mechanism per client. Then, the number of clients is scaled up by adequately scheduling their feedback in the streaming server. This mechanism also allows managing the QoS provided to the clients controlling their feedback rate independently. Our preliminary results confirm the desired scalability with reliable streaming.
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Digital Library
- Beini Ouyang; Xiaoyan Hong; Yi, Y., "A comparison of reliable multicast protocols for mobile ad hoc networks, SoutheastCon, 2005. Proceedings. IEEE, vol., no., pp.339, 344, 8-10 April 2005Google ScholarCross Ref
- Ferreira, D.; Costa, R. A.; Barros, J., "Real-Time Network Coding for Live Streaming in Hyper-Dense WiFi Spaces," Selected Areas in Communications, IEEE Journal on, vol.32, no.4, pp. 773, 781, April 2014 doi: 10.1109/JSAC.2014.140409Google Scholar
- Obraczka, K. Multicast transport protocols: A survey and taxonomy. IEEE Communications Magazine 36, 94-102 (1998) Google ScholarDigital Library
- Rajendran, V., Yi, Y., Obraczka, K., Lee, S. J., Tang, K., & Gerla, M. (2003). Reliable, Adaptive, Congestion-Controlled Adhoc Multicast Transport Protocol: Combining Source-based and Local Recovery. Univ. of Califoria, Santa Cruz, technical report.Google Scholar
- RFC 3550. RTP: A Transport Protocol for Real-Time Applications. 2003. http://www.rfc-base.org/txt/rfc-3550.txtGoogle Scholar
- RFC 4588. RTP Retransmission Payload Format. 2006. https://www.rfc-editor.org/rfc/rfc4588.txtGoogle Scholar
- Tang, K., and Obraczka, K., "A reliable, congestion-controlled multicast transport protocol in multimedia multihop networks," in Proceedings of IEEE WPMC, 2002, pp. 252--256Google Scholar
Index Terms
- Feedback management for scaling clients in streaming multicast
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