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A Rate based Congestion Control Mechanism Using Fuzzy Controller in MANETs

机译:基于模糊控制器的MANET中基于速率的拥塞控制机制。

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The traditional congestion control mechanism TCP, performs very poorly in MANETs Because there are a number of new challenges such as wireless link error, medium contention and frequent route failures in this kind of networks. In this paper, we propose a fuzzy adhoc rate-based congestion control (FARCC) to enhance the efficiency of network in MANETs. In FARCC, we use a rate-based transmission scheme using two fuzzy controller of zero order Takagi Sugeno Kang (TSK) model to congestion detection and congestion control. The FARCC sender adjusts data rate by receiving a feedback packet from FARCC destination. NS2-based simulation results show that FARCC outperforms ITP and ATP to achieve, in terms of throughput and fair resource allocation in AdHoc networks under random topology.
机译:传统的拥塞控制机制TCP在MANET中的性能非常差,因为在此类网络中存在许多新的挑战,例如无线链路错误,介质争用和频繁的路由故障。在本文中,我们提出了一种基于模糊自尊速率的拥塞控制(FARCC),以提高MANET中网络的效率。在FARCC中,我们使用基于速率的传输方案,该方案使用两个零阶Takagi Sugeno Kang(TSK)模型的模糊控制器进行拥塞检测和拥塞控制。 FARCC发送器通过从FARCC目标接收反馈包来调整数据速率。基于NS2的仿真结果表明,在随机拓扑下AdHoc网络中的吞吐量和公平的资源分配方面,FARCC优于ITP和ATP。

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