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A joint approach to routing metrics and application-aware rate adaptation in multi-radio wireless mesh networks

机译:多无线电无线网状网络中路由度量和应用感知速率适配的联合方法

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In this paper, we address a joint problem of routing and application-aware rate adaptation for multi-radio Wireless Mesh Networks (WMNs). WMNs are emerging as wireless backhaul technology to connect wired and wireless networks to the internet in a cost-effective way. These networks use multi-radio capabilities of mesh routers to achieve high performance. However supporting the quality of service (QoS) of real-time multimedia applications is still an important research issue as there is need for the cross-layer optimization strategies involving application, routing, MAC and physical layers. Towards this, we analytically derive our routing metric by using 802.11 Distributed Coordination Function (DCF) basis access mechanism. Using this model, we design a novel cross-layer routing metric called Interference and Contention Aware (ICA) metric by considering delay, channel utilization, inter-flow interference and intra-flow interference to find the optimal path. We extend the work by adapting the traffic rate at the application layer of a source node by using the statistics provided by the routing metric. We implement this joint approach using Optimized Link State Routing (OLSR) in NS2. The results reveal that ICA routing metric performs better in terms of throughput and delay compared to Metric for Channel Diversity (MIND), Contention-Aware Transmission Time (CATT) and Interference Aware Routing (iAWARE). Further, cross-layer approach of routing and rate adaptation helps the applications to adapt the transmission rate based on the congestion at the network layer.
机译:在本文中,我们解决了多无线无线网状网络(WMN)的路由和应用感知速率适配的共同问题。 WMN逐渐成为一种无线回传技术,以经济高效的方式将有线和无线网络连接到Internet。这些网络使用网状路由器的多无线电功能来实现高性能。然而,支持实时多媒体应用的服务质量(QoS)仍然是一个重要的研究问题,因为需要涉及应用,路由,MAC和物理层的跨层优化策略。为此,我们使用802.11分布式协调功能(DCF)基本访问机制来分析得出路由度量。通过使用此模型,我们通过考虑延迟,信道利用率,流间干扰和流内干扰来找到最佳路径,从而设计了一种新颖的跨层路由度量,称为干扰和竞争意识(ICA)度量。通过使用路由度量提供的统计信息,我们通过调整源节点应用层的流量速率来扩展工作。我们使用NS2中的优化链接状态路由(OLSR)来实现这种联合方法。结果表明,相比于信道分集(MIND),竞争感知传输时间(CATT)和干扰感知路由(iAWARE)的度量,ICA路由度量在吞吐量和延迟方面表现更好。此外,路由和速率适配的跨层方法可帮助应用程序基于网络层的拥塞来适配传输速率。

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