A Multi-objective QoS Optimization with Fuzzy Based Parameter Setting for Real-Time Multicasting


We propose a multi-objective Pareto-optimal technique using Genetic Algorithm (GA) for group communication, which determines a min-cost multicast tree satisfying end-to-end delay, jitter, packet loss rate and blocking probability constraints. The model incorporates a fuzzy-based selection technique for initialization of QoS parameter values at each instance of multicasting. The simulation results show that the proposed algorithm satisfies on-demand QoS requirements (like high availability, good load balancing and fault-tolerance) made by the hosts in varying topology and bursty data traffic in multimedia communication networks.

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S. Champati Rai, B. Bihari Misra, A. Kumar Nayak, R. Mall and S. Kumar Pradhan, "A Multi-objective QoS Optimization with Fuzzy Based Parameter Setting for Real-Time Multicasting," International Journal of Communications, Network and System Sciences, Vol. 3 No. 6, 2010, pp. 530-539. doi: 10.4236/ijcns.2010.36071.

Conflicts of Interest

The authors declare no conflicts of interest.


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