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A self-adaptive reconfiguration scheme for throughput maximization in municipal WMNs

机译:用于市政WMN的吞吐量最大化的自适应重配置方案

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摘要

Multi-hop wireless mesh network (WMN) is considered to be an economical technique for last-mile broadband Internet access (Tang et al., 2006). Fueled by the rapid development of the Internet of Things, it is increasing important to provide robust and high-quality urban wireless mesh networks (WMNs) for public service. However, WMNs encounter frequent link failures during their lifetime in practical use as a consequence of large-scale wireless interference, block buildings, etc., which deeply influences the performance of the network. These failures should be recovered in time or prevented with foresight. Tremendous labor and management cost should also be avoided. In this paper, we focus on an interesting phenomenon called "loop effect" in urban WMNs which may cause frequent link failures. A scheme named anti-loop network reconfiguration system (ALRS) for link recovery in municipal WMNs with QoS requirement is proposed and analyzed. ALRS takes the historical information into consideration to achieve maximum throughput, interference avoidance and self-reconfiguration with no requirement on mesh node antennas. Our evaluation results show that ALRS outperforms all the existing techniques in improving network throughput and reducing the occurrence probability of continuous link failure.
机译:多跳无线网状网络(WMN)被认为是用于最后一英里宽带Internet访问的经济技术(Tang等人,2006)。在物联网的快速发展的推动下,为公共服务提供健壮和高质量的城市无线网状网络(WMN)变得越来越重要。然而,由于大规模的无线干扰,建筑物阻塞等,在实际使用中,WMN在其生命周期中会遇到频繁的链路故障,这严重影响了网络的性能。这些故障应及时恢复或有远见的预防。还应避免大量的人工和管理成本。在本文中,我们将重点放在城市WMN中一个有趣的现象,即“环路效应”,这可能会导致频繁的链路故障。提出并分析了一种基于QoS要求的市政WMN链路恢复的防环路网络重配置系统(ALRS)。 ALRS会考虑历史信息,以实现最大吞吐量,避免干扰和自我重新配置,而无需网状节点天线。我们的评估结果表明,ALRS在提高网络吞吐量和减少连续链路故障发生概率方面优于所有现有技术。

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  • 作者单位

    96 Jinzhai Road, School of CS & Tech., USTC, Hefei, 230027, China 188 Renai Road, Suzhou Institute for Advanced Study, USTC, Suzhou, 215123, China;

    96 Jinzhai Road, School of CS & Tech., USTC, Hefei, 230027, China 188 Renai Road, Suzhou Institute for Advanced Study, USTC, Suzhou, 215123, China;

    96 Jinzhai Road, School of CS & Tech., USTC, Hefei, 230027, China 188 Renai Road, Suzhou Institute for Advanced Study, USTC, Suzhou, 215123, China;

    96 Jinzhai Road, School of CS & Tech., USTC, Hefei, 230027, China 188 Renai Road, Suzhou Institute for Advanced Study, USTC, Suzhou, 215123, China;

    96 Jinzhai Road, School of CS & Tech., USTC, Hefei, 230027, China 188 Renai Road, Suzhou Institute for Advanced Study, USTC, Suzhou, 215123, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Reconfiguration; Throughput; Municipal WMN; Optimal;

    机译:重新配置;吞吐量;市政WMN;最佳;

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