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Increasing User Perceived Quality by Selective Load Balancing of Video Traffic in Wireless Networks

机译：通过无线网络中视频流量的选择性负载平衡来提高用户感知质量

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摘要

Wireless mesh networks (WMNs) are becoming increasingly popular mostly due to their deployment flexibility. The main drawback of these networks is their lack of guaranteeing high Quality of Service (QoS) levels to their clients. The latest ubiquitous mobile and wireless support and significant growth in smartphone features have fueled user demand for rich media services on their devices. Unfortunately, this traffic increase puts additional pressure on WMN resources, eventually affecting user QoS levels and providing solutions to address this is highly challenging. This paper shows how by using ViLBaS, an innovative selective load balancing solution for video deliveries in WMN, increased QoS levels of remotely transmitted video are obtained. ViLBaS employs distributed monitoring of network traffic, identifies the node most affected by congestion and prevents imminent packet drops by rerouting the video flows around the congested node. A hybrid simulation-emulation-based test-bed is built and used for assessing ViLBaS performance in comparison with classic solutions employing the best-known routing metrics. Real video traffic was transmitted from a sever to a client over a WMN topology and the received video quality was assessed in different scenarios. The results demonstrate that ViLBaS outperforms all other solutions when delivering various video content with diverse characteristics and at different quality levels.
机译：无线网状网络（WMN）主要由于其部署灵活性而变得越来越流行。这些网络的主要缺点是它们无法保证为其客户提供高服务质量（QoS）级别。最新的无处不在的移动和无线支持以及智能手机功能的显着增长推动了用户对其设备上的富媒体服务的需求。不幸的是，这种流量的增加给WMN资源带来了额外的压力，最终影响了用户的QoS级别，并且提供解决此问题的解决方案非常具有挑战性。本文展示了如何通过使用ViLBaS（一种用于WMN中视频交付的创新性选择性负载平衡解决方案）来提高远程传输视频的QoS级别。 ViLBaS采用网络流量的分布式监控，识别受拥塞影响最大的节点，并通过重新路由拥塞节点周围的视频流来防止即将发生的数据包丢失。与采用最著名路由度量标准的经典解决方案相比，构建了一个基于混合仿真仿真的测试台，并将其用于评估ViLBaS性能。实际的视频流量通过WMN拓扑从服务器传输到客户端，并在不同的情况下评估收到的视频质量。结果表明，在提供具有不同特征和不同质量级别的各种视频内容时，ViLBaS优于所有其他解决方案。

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