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首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >CACAO: Distributed Client-Assisted Channel Assignment Optimization for Uncoordinated WLANs
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CACAO: Distributed Client-Assisted Channel Assignment Optimization for Uncoordinated WLANs

机译：CACAO：非协调WLAN的分布式客户端辅助信道分配优化

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摘要

IEEE 802.11 WLANs are becoming more and more popular in homes and urban areas. As compared to traditional WLAN setups (such as in campuses) where knowledgeable network administrators can make centralized decisions on channel selection, access points (APs) in these networks are often deployed by network nonspecialists in an uncoordinated manner, leading to unplanned topologies, interference, and therefore unsatisfactory throughput performance. We consider in this paper a distributed channel assignment algorithm for uncoordinated WLANs, where APs can self-configure their operating channels to minimize interference with adjacent APs. We first formulate the optimization problem on channel assignment which overcomes some of the weaknesses encountered by uncoordinated WLANs. We show that the problem is NP-hard, and propose an efficient, simple, and distributed algorithm termed CACAO (Client-Assisted Channel Assignment Optimization). In CACAO, the clients feed back traffic information to their APs. This leads to better network condition knowledge and better channel assignment decisions at the APs. We conduct extensive simulation study and comparisons using Network Simulator 2 (NS2). Our results show that CACAO outperforms other traditional and recent schemes in terms of TCP and UDP throughputs with a similar level of fairness. Furthermore, it converges quite fast and reduces cochannel interference significantly.
机译：IEEE 802.11 WLAN在家庭和城市地区越来越受欢迎。与传统的WLAN设置（例如校园中的WLAN）相比，有经验的网络管理员可以集中选择信道，这些非网络专家通常以不协调的方式部署这些网络中的接入点（AP），从而导致计划外的拓扑结构，干扰，因此吞吐量性能不理想。我们在本文中考虑了一种用于不协调WLAN的分布式信道分配算法，其中AP可以自行配置其工作信道，以最大程度地减少对相邻AP的干扰。我们首先提出关于信道分配的优化问题，该问题克服了非协调WLAN所遇到的一些弱点。我们证明了该问题是NP难题，并提出了一种有效，简单且分布式的算法，称为CACAO（客户端辅助渠道分配优化）。在CACAO中，客户端将流量信息反馈到其AP。这导致在AP处获得更好的网络状况知识和更好的信道分配决策。我们使用Network Simulator 2（NS2）进行了广泛的仿真研究和比较。我们的结果表明，CACAO在TCP和UDP吞吐量方面以相似的公平性胜过其他传统和最近的方案。此外，它收敛非常快，并显着降低了同信道干扰。

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