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On the throughput-delay trade-off in georouting networks

机译:关于地理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 n mobile nodes. Our aim is to increase the network capacity quasi linearly with n while keeping the average delay bounded. In our model, mobile nodes move according to an i.i.d. random walk with velocity v and transmit packets to randomly chosen destinations. The average packet delivery delay of our scheme is of order 1/v and it achieves the network capacity of order equation. This shows a practical throughput-delay trade-off, in particular when compared with the seminal result of Gupta and Kumar which shows network capacity of order equation and negligible delay and the groundbreaking result of Grossglauser and Tse which achieves network capacity of order n but with an average delay of order √n/v. The foundation of our improved capacity and delay trade-off relies on the fact that we use a mobility model that contains free space motion, 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n个移动节点的无线多跳网络中的地理路由方案的缩放属性。我们的目标是使网络容量近似n线性增加,同时保持平均延迟为界。在我们的模型中,移动节点根据i.d.移动。以速度v随机游走并将数据包传输到随机选择的目的地。我们的方案的平均分组传送延迟为1 / v阶,并且它实现了阶方程的网络容量。这显示了实际的吞吐量-延迟权衡,特别是与Gupta和Kumar的开创性结果(阶数方程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n阶的网络容量相比时,尤其是平均延迟时间为√n/ v。我们提高容量和延迟折衷的基础在于以下事实:我们使用包含自由空间运动的运动模型,该模型被认为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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