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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 algorithm.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.
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 algorithm. 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.