Doaa H. Esawi, G. Attiya, M. El-Bardini
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引用次数: 2

摘要

本文在网络拥塞控制领域采用了一种智能控制技术——模糊逻辑。一般情况下,拥塞问题发生在交通负荷增加的时候。这个问题降低了网络利用率,增加了流量延迟。因此,需要智能拥塞控制来避免上述问题。然而,应用模糊控制器的主要挑战是如何选择隶属函数的数量。通过大量的隶属函数可以获得更高的分辨率。本文考虑了两种不同的情况:第一种情况采用3成员制,第二种情况采用5成员制。利用NS2仿真工具对所提出的控制器进行了评估,并将结果与最新的协议进行了比较。结果表明,该控制器提高了吞吐量,减少了丢包和包延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Controller based Host-to-Host Congestion Control: Fuzzy Logic Controller
This paper employs an intelligent control technique (Fuzzy logic) in the area of Internet congestion control. Generally, congestion problem occurs when traffic load increases. This problem decreases network utilization and increases traffic delay. Hence, an intelligent congestion control is required to avoid the mentioned problem. Nevertheless, the main challenge in utilizing fuzzy controller is how to choice the number of membership functions. A greater resolution is achieved with a large number of membership functions. In this paper, two different cases as considered: the first case employs 3-memberships while the second case employs 5-memberships. The proposed controller is evaluated by using NS2 simulation tool and the results are compared with the most recent protocols. The results indicate that the proposed controller increases the throughput and decreases both the packet loss and packet delay.
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