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On the Throughput-Delay Tradeoff in Georouting Networks

机译:地质路由网络中的吞吐量-延迟权衡

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We study the scaling properties of a georouting scheme in a wireless multi-hop network of mobile nodes. Our aim is to increase the network capacity quasi-linearly with , while keeping the average delay bounded. In our model, we consider mobile nodes moving according to an independent identically distributed random walk with velocity and transmitting packets to randomly chosen fixed and known destinations. The average packet delivery delay of our scheme is of order , and it achieves network capacity of order . This shows a practical throughput-delay tradeoff, in particular when compared with the seminal result of Gupta and Kumar, which shows network capacity of order and negligible delay and the groundbreaking result of Grossglauser and Tse, which achieves network capacity of order but with an average delay of order . The foundation of our improved capacity and delay tradeoff relies on the fact that we use a mobility model that contains straight-line segments, a model that we consider more realistic than classic Brownian motions. We confirm the generality of our analytical results using simulations under various interference models.
机译:我们研究了移动节点的无线多跳网络中地理路由方案的缩放属性。我们的目标是使用准线性增加网络容量,同时保持平均延迟为界。在我们的模型中,我们考虑移动节点根据具有速度的独立均匀分布的随机游动运动,并将数据包传输到随机选择的固定和已知目的地。我们方案的平均包传递延迟是有序的,达到了有序的网络容量。这显示了实际的吞吐量-延迟权衡,尤其是与Gupta和Kumar的开创性结果(显示有序的网络容量和可忽略的延迟)以及Grossglauser和Tse的开创性结果(达到了有序的网络容量但平均)相比时订单延误。我们提高容量和延迟权衡的基础在于以下事实:我们使用包含直线段的移动性模型,该模型比经典的布朗运动更现实。我们使用各种干扰模型下的仿真来确认分析结果的一般性。

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