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GENERALIZATION OF CRITICAL TRANSMISSION RANGE FOR CONNECTIVITY TO WIRELESS MULTIHOP NETWORK MODELS INCLUDING INTERFERENCE

机译:连接到包括干扰的无线多跳网络模型的关键传输范围的概括

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The connectivity of wireless multihop networks has mostly been studied neglecting interference, assuming that all network nodes have a common transmission range within which they can form direct links. Under this assumption, the critical transmission range for connectivity of a given network equals the greatest edge length in the Euclidean minimum spanning tree of the network nodes. While the impact of interferences on the percolation phenomena of infinite networks has been studied [1], little is known about the graph connectivity of finite networks under more realistic network models. In this paper, we generalize the critical range for connectivity to two network models presented earlier which are both based on a minimum required signal-to-noise-and-interference ratio for successful communication. As these models have more than one free parameters, the critical range generalizes into a boundary in the space of these parameters; we show how to determine this boundary for a given network. The connectivity boundary implies tradeoffs between different parameters dictating network performance. Our results allow studying the connectivity of interferences-limited networks by simulation and give insight on the sensitivity of connectivity to different network parameters.
机译:假设所有网络节点都有一个常见的传输范围,因此,无线多彩网网络的连接大多是忽略干扰的忽略干扰。在这种假设下,给定网络连接的关键传输范围等于网络节点的欧几里德最小生成树中的最大边缘长度。虽然已经研究了干扰对无限网络的渗透现象的影响[1],但关于在更多现实网络模型下有限网络的图形连接几乎是知之甚少。在本文中,我们概括了与先前提出的两个网络模型的连接临界范围,这两者都基于所需的最小信号对噪声和干扰比来实现成功的通信。由于这些模型具有多于一个自由参数,临界范围将概括为这些参数空间的边界;我们展示了如何确定给定网络的该边界。连接边界意味着不同参数的权衡决定网络性能。我们的结果允许通过仿真研究干扰有限的网络的连接,并对连接到不同网络参数的敏感性进行识别。

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