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DCNC: throughput maximization via delay controlled network coding for wireless mesh networks

机译:DCNC:通过无线网状网络的延迟控制网络编码实现吞吐量最大化

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摘要

Network coding (NC) can greatly improve the performance of wireless mesh networks (WMNs) in terms of throughput and reliability, and so on. However, NC generally performs a batch-based transmission scheme, the main drawback of this scheme is the inevitable increase in average packet delay, that is, a large batch size may achieve higher throughput but also induce larger average packet delay. In this work, we put our focus on the tradeoff between the average throughput and packet delay; in particular, our ultimate goal is to maximize the throughput for real-time traffic under the premise of diversified and time-varying delay requirements. To tackle this problem, we propose DCNC, a delay controlled network coding protocol, which can improve the throughput for real-time traffic by dynamically controlling the delay in WMNs. To define an appropriate control foundation, we first build up a delay prediction model to capture the relationship between the average packet delay and the encoding batch size. Then, we design a novel freedom-based feedback scheme to efficiently reflect the reception of receivers in a reliable way. Based on the predicted delay and current reception status, DCNC utilizes the continuous encoding batch size adjustment to control delay and further improve the throughput. Extensive simulations show that, when faced with the diversified and time-varying delay requirements, DCNC can constantly fulfill the delay requirements, for example, achieving over 95% efficient packet delivery ratio (EPDR) in all instances under good channel quality, and also obtains higher throughput than the state-of-art protocol. Copyright (C) 2014 John Wiley & Sons, Ltd.
机译:网络编码(NC)可以在吞吐量和可靠性等方面极大地提高无线网状网络(WMN)的性能。但是,NC通常执行基于批处理的传输方案,该方案的主要缺点是不可避免地会增加平均数据包延迟,即,大批处理量可能会实现更高的吞吐量,但也会导致较大的平均数据包延迟。在这项工作中,我们将重点放在平均吞吐量和数据包延迟之间的权衡;特别是,我们的最终目标是在多样化且时变的延迟要求的前提下,最大化实时流量的吞吐量。为了解决这个问题,我们提出了DCNC,一种延迟控制的网络编码协议,该协议可以通过动态控制WMN中的延迟来提高实时流量的吞吐量。为了定义适当的控制基础,我们首先建立一个延迟预测模型,以捕获平均数据包延迟与编码批处理大小之间的关系。然后,我们设计了一种新颖的基于自由的反馈方案,以一种可靠的方式有效地反映了接收者的接收情况。基于预测的延迟和当前接收状态,DCNC利用连续编码批处理大小调整来控制延迟并进一步提高吞吐量。大量的仿真表明,当面对多样化且随时间变化的延迟要求时,DCNC可以不断满足延迟要求,例如,在良好的信道质量下,在所有情况下都可以达到超过95%的有效数据包传输率(EPDR),并且可以获得吞吐量要高于最新协议。版权所有(C)2014 John Wiley&Sons,Ltd.

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