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A QoS multicast routing optimization algorithm based on genetic algorithm

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2 Author(s)
Sun, Baolin ; School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430063, P. R. China, and the Department of Mathematics and Physics, Wuhan University of Science and Engineering, Wuhan 430073, P. R. China ; Li, Layuan

Most of the multimedia applications require strict quality of service (QoS) guarantee during the communication between a single source and multiple destinations. This gives rise to the need for an efficient QoS multicast routing strategy. Determination of such QoS-based optimal multicast routes basically leads to a multi-objective optimization problem, which is computationally intractable in polynomial time due to the uncertainty of resources in Internet. This paper describes a network model for researching the routing problem and proposes a new multicast tree selection algorithm based on genetic algorithms to simultaneously optimize multiple QoS parameters. The paper mainly presents a QoS multicast routing algorithm based on genetic algorithm (QMRGA). The QMRGA can also optimize the network resources such as bandwidth and delay, and can converge to the optimal or near-optimal solution within few iterations, even for the networks environment with uncertain parameters. The incremental rate of computational cost can close to polynomial and is less than exponential rate. The performance measures of the QMRGA are evaluated using simulations. The simulation results show that this approach has fast convergence speed and high reliability. It can meet the real-time requirement in multimedia communication networks.

Published in:

Communications and Networks, Journal of  (Volume:8 ,  Issue: 1 )