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 CN  Vol.5 No.3 C , September 2013
Link Utilization Based Multicast Congestion Control
Abstract: Networking is the important part of the computer networks. Multicasting is also one of the essential areas of networking. In multicasting, sender can send information or data to the group of end receivers in a single transmission. It is a big issue because of more data demands of receivers which cause the congestion. Multicast is one of the crucial method to avoid congestion and make network perform stably. In this paper, we propose, link utilization algorithm to deal with multicast congestion control. We propose the equation to improve the utilization of the channel or link. The simulation results show that proposed work provide the better throughput of the network with respect to sending rate, queue size, packet loss ratio and time.
Cite this paper: Manjul, M. , Mishra, R. and  , J. (2013) Link Utilization Based Multicast Congestion Control. Communications and Network, 5, 649-653. doi: 10.4236/cn.2013.53B2116.
References

[1]   S. Kumar and K. Singh, “Efficient Single Rate Based Multicast Congestion Control,” IJCA Proceedings on National Conference on Innovative Paradigms in Engineering and Technology, 2012.

[2]   S. Shi and M. Waldvogel, “A Rate-Based End-to-End Multicast Congestion Control Protocol,” International Conference on Convergence and Hybrid Information Technology, 2000.

[3]   W. Kammoun and H. Youssef, “Improving End to End Multicast Rate Control in Networks,” IEEE Proceedings of Computer Communication ISCC, 2009.

[4]   W. Kammoun and H. Youssef, “Improving the Performance of End-to-End Single Rate Multicast Congestion Control,” Proceedings of Computer and Communication, 6-9 July 2008.

[5]   G.-I. Kwon and J. W. Byers, “Leveraging Single Rate Schemes in Multiple Rate Multicast Congestion Control Design,” IEEE Journal on Selected Areas in Communications, Vol. 22, No. 10, 2004, pp. 1975-1986. http://dx.doi.org/10.1109/JSAC.2004.836006

[6]   M. G. abowski, M. Stasiak and P. Zwierzykowski, “Multicast Connections in a Virtual Circuit Switching Node,” Proceedings of the Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/ELearning on Telecommunications Workshop, 2005.

[7]   R. Chakravarthi and C. Gomathy, “A Fuzzy Approach To Detect And Control Congestion In Wireless Sensor Networks,” Indian Journal of Computer Science and Engineering (IJCSE), Vol. 3, No. 3, 2011, pp. 476-483.

[8]   J. Bian, Z.-Q. Wang, H.-H. Ke and G.-Z. Zhang, “Congestion Control Protocol Based on Delay Parameters for Layered Multicast Communication,” ICCT International Conference on Communication Technology, 10 April 2007.

[9]   H. Ma, X. Meng, L. Zhou, H. Li and X. Zhang, “Fuzzy-Logic-Based Adaption Scheme for TFMCC,” Proceedings of International Conference on Networking and Digital Society, 2009.

[10]   Y.-W. Leung, “Congestion Control for Multipoint Video Conferencing,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 10, No. 5, 2000.

[11]   X. Zhang, C. R. Li, X. Li and C. X. Bao, “Multicast Congestion Control on Many-to-Many Videoconferencing,” Second International Conference on Future Generation Communication and Networking, 30 December 2008.

 
 
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