首页> 外文会议>IASTED(International Association of Science and Technology for Development) International Conference on Communications and Computer Networks; 20051024-26; Marina del Rey(US) >GENERALIZATION OF CRITICAL TRANSMISSION RANGE FOR CONNECTIVITY TO WIRELESS MULTIHOP NETWORK MODELS INCLUDING INTERFERENCE
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GENERALIZATION OF CRITICAL TRANSMISSION RANGE FOR CONNECTIVITY TO WIRELESS MULTIHOP NETWORK MODELS INCLUDING INTERFERENCE

机译:包含干扰的无线多跳网络模型的连通性临界传输范围的广义化

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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, 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共同的传输范围,在这些范围内它们可以形成直接链接,但大多数情况下都在研究无线多跳网络的连接时忽略了干扰。在这种假设下,给定网络的连接的关键传输范围等于网络节点的欧几里得最小生成树中的最大边缘长度。尽管已经研究了干扰对无限网络的渗滤现象的影响,但对于在更现实的网络模型下有限网络的图连通性知之甚少。在本文中,我们概括了到前面介绍的两个网络模型的连接的关键范围,这两个模型都是基于成功通信所需的最小信噪比的。由于这些模型具有多个自由参数,因此临界范围会概括为这些参数空间中的边界。我们展示了如何确定给定网络的边界。连接性边界暗示了指示网络性能的不同参数之间的折衷。我们的结果允许通过仿真研究受干扰限制的网络的连通性,并深入了解连通性对不同网络参数的敏感性。

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