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Minimum interference channel assignment for multicast in multi-channel multi-radio wireless mesh networks

机译:多信道多无线电无线网状网络中用于组播的最小干扰信道分配

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摘要

Wireless mesh networks (WMNs) have emerged as a key technology for next-generation wireless networking. In a WMN, wireless routers provide multi-hop wireless connectivity between hosts in the network and also allow hosts to access the Internet via the gateway nodes. Wireless routers are typically equipped with multiple radios operating on different channels to increase network throughput. Multicast is a form of communication that delivers data from a source to a set of destinations simultaneously. It is used in a number of applications such as distributed games, distance education, and video conferencing. In this work, we address the channel assignment problem for multicast in multi-radio multi-channel WMNs. In a multi-radio multi-channel WMN, when two nearby nodes transmit on the same channel, they will interfere with each other and cause throughput decrease. Thus, an important goal for multicast channel assignment is to reduce the interference among the tree nodes. We have developed a Minimum Interference Channel Assignment (MICA) algorithm for multicast that accurately models the interference relationship between pairs of multicast tree nodes using the concept of interference factor and assigns channels to tree nodes to minimize interference within the multicast tree. Simulation results show that MICA achieves higher throughout and lower end-to-end packet delay compared with an existing channel assignment algorithm named MCM. In addition, MICA achieves much lower throughput variation among the destination nodes than MCM.
机译:无线网状网络(WMN)已经成为下一代无线网络的一项关键技术。在WMN中,无线路由器在网络中的主机之间提供多跳无线连接,并且还允许主机通过网关节点访问Internet。无线路由器通常配备有在不同信道上运行的多个无线电,以提高网络吞吐量。组播是一种通信形式,可以同时将数据从源传递到一组目标。它被用于许多应用程序中,例如分布式游戏,远程教育和视频会议。在这项工作中,我们解决了多无线电多信道WMN中多播的信道分配问题。在多无线电多信道WMN中,当两个附近的节点在同一信道上传输时,它们将相互干扰并导致吞吐量降低。因此,多播信道分配的重要目标是减少树节点之间的干扰。我们已经开发了用于组播的最小干扰信道分配(MICA)算法,该算法使用干扰因子的概念准确地模拟了多播树节点对之间的干扰关系,并将信道分配给树节点以最小化多播树内的干扰。仿真结果表明,与现有的名为MCM的信道分配算法相比,MICA具有更高的整体吞吐量和更低的端到端分组延迟。另外,与MCM相比,MICA在目标节点之间实现的吞吐量变化要低得多。

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    Choi, Sangil;

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  • 年度 2009
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  • 原文格式 PDF
  • 正文语种 en
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