Queuing Game Based Congestion Control Model with Impatient Users over Space Information Networks ?
نویسندگان
چکیده
Considering impatient users in space information networks, a preliminary queue congestion control model was presented. It balanced the network loads and make up for the resource lost from the impatient leaving users. To describe the competition among nodes, the model used queuing game theory. The introduced congestion control platform, which consisted of service nodes, calculated user’s gain to determine a threshold of the queue length. When the current queue length reaches the threshold value, some profits from the congestion control platform were lost. Therefore, a preliminary queue was designed to optimize the payoff which eliminated the negative effect from the impatient leaving users. The optimal length of this preliminary queue was configured as the expected number of leaving impatient users. This model improves the efficiency of resources allocation. The simulation results show that it can promote the network performance.
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