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Efficient multicast design for wireless mesh networks.

机译:无线网状网络的高效多播设计。

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摘要

Wireless mesh networks (WMN) have emerged as an efficient means to expand the wireless reach of metro broadband deployments at a variety of locations or scenarios. It provides high quality service to end users as the last-mile of the Internet. Multicast provides an efficient mechanism for distributing data among a group of nodes, such as online games and video conferences. With the increasing popularity of content distribution and multimedia applications, efficient multicast communication becomes essential for the wide deployment of WMNs. In this dissertation, we discuss several research topics related with multicast communication in WMNs.;First, we investigate the problem of routing and channel assignment for multicast communication in link-homogeneous WMNs with the goal of maximizing throughput. In this dissertation, we consider WMNs equipped with multiple channels and multiple interfaces. Previous research work on multicast does not take the multi-channel characteristic into consideration, thus it cannot fully explore the network capacity of WMNs. By exploiting multi-channel and multi-interface, our proposed approach has two major steps: (i) it builds an efficient multicast tree that minimizes the number of relay nodes; and (ii) the dedicated channel assignment strategies are designed to reduce the interference to improve the network capacity. We demonstrate that our proposed protocols not only improve the throughput, but also reduce the delay.;Second, we study the multicast problem in link-heterogeneous WMNs. Unlike previous work that focuses on link-homogeneous WMNs only, we consider one important form of link heterogeneity: different link loss ratios. Under this constraint, although minimizing relay nodes helps to decrease interference in the WMN, it is also important to choose high quality links to minimize the number of transmissions. This is because decreasing the number of transmissions helps to increase the throughput. Based on this consideration, we define a new graph theory problem: HW-SCDS to model link-heterogeneity. Maximizing WMN throughput is equivalent to computing a minimum HW-SCDS (MHW-SCDS) in the graph. We prove that computing an MHW-SCDS is NP-hard and devise a greedy algorithm for it. We show that our approach outperforms previous work in terms of throughput and delay.;Third, we investigate the problem of opportunistic multicast in WMNs. By exploiting the broadcast nature and spatial diversity of the wireless medium, opportunistic routing has emerged as a new routing paradigm to improve unicast throughput. However, its natural multicast extension does not build any efficient multicast structure, thus the explosion of unnecessary retransmission is unavoidable. To overcome this shortcoming, we propose a new opportunistic multicast protocol to improve throughput in WMNs. The key concept is a tree backbone in this protocol. Our tree backbone protocol represents a tradeoff between traditional structured multicast protocols and unstructured protocols. Therefore, our solution is able to improve throughput by both utilizing spatial diversity and reducing transmissions.
机译:无线网状网络(WMN)已经成为一种有效的手段,可以在各种位置或场景下扩展城域宽带部署的无线覆盖范围。它向最终用户提供高质量的服务,成为Internet的最后一英里。组播提供了一种在一组节点之间分发数据的有效机制,例如在线游戏和视频会议。随着内容分发和多媒体应用程序的日益普及,有效的多播通信对于WMN的广泛部署变得至关重要。本文讨论了WMN中与多播通信相关的几个研究主题。首先,为了最大化吞吐量,研究了链路同质WMN中多播通信的路由和信道分配问题。本文考虑了具有多个通道和多个接口的WMN。先前有关多播的研究工作并未考虑多信道特性,因此无法充分探索WMN的网络容量。通过利用多通道和多接口,我们提出的方法具有两个主要步骤:(i)它构建了一个有效的多播树,该树将中继节点的数量减到最少; (ii)专用信道分配策略旨在减少干扰以提高网络容量。我们证明了我们提出的协议不仅提高了吞吐量,而且减少了时延。其次,研究了链路异构WMN中的组播问题。与先前只关注链路同质WMN的工作不同,我们考虑链路异质性的一种重要形式:不同的链路丢失率。在此约束下,尽管最小化中继节点有助于减少WMN中的干扰,但是选择高质量的链路以最小化传输数量也很重要。这是因为减少传输数量有助于提高吞吐量。基于此考虑,我们定义了一个新的图论问题:HW-SCDS以建模链接异构性。使WMN吞吐量最大化等效于计算图中的最小HW-SCDS(MHW-SCDS)。我们证明计算MHW-SCDS是NP难的,并为此设计了一个贪心算法。我们证明了我们的方法在吞吐量和延迟方面都优于先前的工作。第三,我们研究了WMN中的机会组播问题。通过利用无线介质的广播性质和空间多样性,机会路由已成为提高单播吞吐量的新路由范式。但是,其自然的多播扩展不能建立任何有效的多播结构,因此不可避免地会发生不必要的重传。为克服此缺点,我们提出了一种新的机会多播协议以提高WMN的吞吐量。关键概念是此协议中的树主干。我们的树骨干协议表示传统结构化多播协议和非结构化协议之间的折衷。因此,我们的解决方案能够通过利用空间分集和减少传输来提高吞吐量。

著录项

  • 作者

    Zeng, Guokai.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 154 p.
  • 总页数 154
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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