New strategies for collision resolution of multi-access channel

ABSTRACT： The truncated binary exponential back-off algorithm is one of the most effective methods applied in collision resolution process of random multi-access channel. In this study, two new strategies are presented to improve the capability of the truncated binary exponential back-off algorithm. In the new strategies, the sizes of the initial window size or the operating window sizes are adjusted dynamically, which always bring a significant improvement for the self-adaptability of the original A series of experiments are simulated and the results verify that the new strategies can make the implementation more stable and effective than the original algorithm.     

Genetic algorithm for multi-protocol label switching

A new method for multi-protocol label switching is presented in this study, whose core idea is to construct model for simulating process of accommodating network online loads and then adopt genetic algorithm to optimize the model. Due to the heuristic property of evolutional method, the new method is efficient and effective, which is verified by the experiments.