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Packet aggregation based back-pressure scheduling in multi-hop wireless networks

机译:多跳无线网络中基于分组聚合的背压调度

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The back-pressure based scheduling policy originally proposed by Tassiulas et al. in [1] has shown the potential of solving many fairness and network utilization related problems of wireless multi-hop networks. Recently, the scheduling policy has been adapted in random medium access protocols such as CSMA/CA using prioritization of MAC layer transmissions. Here, MAC priorities are used to provide differentiated services to nodes depending on their queue backlogs. Even though these schemes work well in experiments to emulate back-pressure scheduling, they perform poorly with realistic Internet-type traffic where there is a large variation in packet sizes. In this paper, we propose packet aggregation based back-pressure scheduling which aggressively increases the rates at which back-logged queues are served. Different from other aggregation schemes, the presented scheme utilizes the back-pressure principles for determining when and how much aggregation is performed. We show that this results into increased service rates of back-logged queues which in turn results into high network throughput and utilization. We verify our scheme using simulations and testbed experiments, and show that it achieves significant performance improvements as compared to the original scheme.
机译:Tassiulas等人最初提出的基于背压的调度策略。文献[1]中的文章显示了解决无线多跳网络中许多公平性和网络利用率相关问题的潜力。最近,调度策略已使用MAC层传输的优先级在随机介质访问协议(例如CSMA / CA)中进行了调整。在此,MAC优先级用于根据节点的队列积压向节点提供差异化​​服务。即使这些方案在模拟背压调度的实验中效果很好,但在实际的Internet类型流量(数据包大小存在较大差异)的情况下,它们的性能仍然很差。在本文中,我们提出了基于数据包聚合的反压调度,它可以积极地提高服务于积压队列的速率。与其他聚合方案不同,提出的方案利用背压原理来确定何时以及执行多少聚合。我们显示,这导致积压队列的服务速率提高,进而导致高网络吞吐量和利用率。我们使用仿真和测试平台实验验证了我们的方案,并表明与原始方案相比,该方案实现了显着的性能改进。

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