Randomized Single-Path Flow Routing on SDN-Aware Wi-Fi Mesh Networks

Dawood Sajjadi, Zehui Zheng, Rukhsana Ruby, Jianping Pan
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引用次数: 5

Abstract

Wi-Fi Mesh Networks (WMNs) as a popular platform can be used for the construction of dynamic backhaul networks especially over small cells, which is an indispensable part of the 5G technology. Finding the optimal single-path flow routing solution over the multi-hop backhaul networks is a classic NP-hard problem and there are non-trivial drawbacks such as packet re-ordering to implement multi-path routing as a practical solution. However, Software Defined Networking (SDN) as an emerging paradigm can provide a great opportunity to implement fast and efficient solutions for routing the network flows over WMNs. In this paper, we propose a randomized single-path flow routing that can be applied to SDN-aware WMNs. The randomized nature of our introduced solution avoids the complexities of implementing a multi-path flow routing and it presents a viable routing scheme that guarantees certain performance bounds. In addition, it considers the key characteristics of wireless networks and it can be employed for multi-channel multi-radio WMNs. Through numerical results, we have shown that our solution follows the theoretical, tighter and more general performance bounds. Moreover, in contrast to most of the prior studies, the performance of the proposed solution is not only evaluated through a real testbed (in terms of the aggregated throughput and protocol overhead) but also compared with some of the most popular WMN routing protocols.
基于sdn感知的Wi-Fi网状网络随机单路径流路由
Wi-Fi Mesh网络(WMNs)作为一种流行的平台,可以用于构建动态回程网络,特别是在小蜂窝上,这是5G技术不可缺少的一部分。在多跳回程网络中寻找最优的单路径流路由解决方案是一个典型的np困难问题,并且在实现多路径路由作为实际解决方案时存在数据包重新排序等重大缺陷。然而,软件定义网络(SDN)作为一种新兴的范例可以为实现通过wmn路由网络流的快速和有效的解决方案提供一个很好的机会。在本文中,我们提出了一种可应用于sdn感知wmn的随机单路径流路由。我们引入的解决方案的随机特性避免了实现多路径流路由的复杂性,并提供了一种可行的路由方案,保证了一定的性能界限。此外,该方法考虑了无线网络的关键特性,可用于多信道多无线电WMNs。通过数值结果表明,我们的解符合理论的、更严格的、更一般的性能界限。此外,与大多数先前的研究相反,所提出的解决方案的性能不仅通过真实的测试平台(在聚合吞吐量和协议开销方面)进行了评估,而且还与一些最流行的WMN路由协议进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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