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A Statistical Analysis of the Long-Run Node Spatial Distribution in Mobile Ad Hoc Networks

机译:Ad Hoc网络中长期节点空间分布的统计分析

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In this paper, we analyze the node spatial distribution of mobile wireless ad hoc networks. Characterizing this distribution is of fundamental importance in the analysis of many relevant properties of mobile ad hoc networks, such as connectivity, average route length, and network capacity. In particular, we have investigated under what conditions the node spatial distribution resulting after a large number of mobility steps resembles the uniform distribution. This is motivated by the fact that the existing theoretical results concerning mobile ad hoc networks are based on this assumption. In order to test this hypothesis, we performed extensive simulations using two well-known mobility models: the random way-point model, which resembles intentional movement, and a Brownian-like model, which resembles non-intentional movement. Our analysis has shown that in the Brownian-like motion the uniformity assumption does hold, and that the intensity of the concentration of nodes in the center of the deployment region that occurs in the random waypoint model heavily depends on the choice of some mobility parameters. For extreme values of these parameters, the uniformity assumption is impaired.
机译:在本文中,我们分析了移动无线自组织网络的节点空间分布。在分析移动自组织网络的许多相关属性(例如连接性,平均路由长度和网络容量)时,表征这种分布至关重要。特别是,我们研究了在什么条件下,经过大量移动步骤后所产生的节点空间分布类似于均匀分布。这是因为有关移动自组织网络的现有理论结果是基于此假设的。为了检验该假设,我们使用两个众所周知的移动性模型进行了广泛的仿真:类似于有意运动的随机航点模型和类似于非有意运动的类似Brownian的模型。我们的分析表明,在类似布朗运动中,均匀性假设确实成立,并且随机航点模型中发生的部署区域中心节点集中的强度在很大程度上取决于某些移动性参数的选择。对于这些参数的极值,均匀性假设会受到影响。

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