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首页> 外文期刊>Journal of Advanced Computatioanl Intelligence and Intelligent Informatics >Improving Fairness in IEEE 802.11 EDCA Ad Hoc Networks Based on Fuzzy Logic
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Improving Fairness in IEEE 802.11 EDCA Ad Hoc Networks Based on Fuzzy Logic

机译:基于模糊逻辑,提高IEEE 802.11 EDCA ad Hoc网络的公平性

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Wireless ad hoc network is a self-configurable and dynamically distributed network in which stations can move freely. In the ad hoc network, some flows have difficulty in accessing the channel due to contention at both the medium-access control (MAC) and link layers. The IEEE 802.11 protocol is currently the de facto standard for wireless networks. It uses enhanced distributed channel access (EDCA) method to access the transmission environment of each type of data flow. The size of the contention window (CW) in EDCA is related to the probability of accessing the channel of each flow. In our approach, useful information is obtained from the physical, MAC, and link layers. A fuzzy logic system is then used to adjust the size of CW to rely on such value, thereby improving the fairness index of data flows (voice, video, best effort) in IEEE 802.11 EDCA. The simulation results show that the proposed method can improve the throughput and fairness index of data flows.
机译:无线ad hoc网络是一种自配置和动态分布的网络,在该网络中,该站可以自由移动。 在临时网络中,由于中等访问控制(MAC)和链路层的争用,某些流量难以访问信道。 IEEE 802.11协议目前是无线网络的事实标准。 它使用增强的分布式信道访问(EDCA)方法来访问每种类型数据流的传输环境。 EDCA中的争用窗口(CW)的大小与访问每个流的信道的概率有关。 在我们的方法中,从物理,MAC和链接层获得有用的信息。 然后使用模糊逻辑系统来调整CW的大小,依赖于这种价值,从而提高IEEE 802.11 EDCA中数据流量(语音,视频,最佳努力)的公平指数。 仿真结果表明,该方法可以提高数据流量的吞吐量和公平指标。

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