Impact of Radio Irregularities on Connectivity of Wireless Networks with Log-Normal Shadowing

Lixin Wang, W. Washington, Katrina Gilmore, Chuang Liu
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引用次数: 5

Abstract

To better understand connectivity of multihop wireless networks with the log-normal shadowing, we study the impact of radio irregularities on network connectivity under such a realistic shadowing model. Existing results indicate that connectivity increases when the radio propagation becomes more irregular. But all of these results were only based on simulation studies or the assumption that the important boundary effect is ignored to avoid the challenging technical analysis. Therefore, they can hardly be applied to any practical wireless networks. It is extremely challenging to take the complicated boundary effect into consideration under such a realistic model because the transmission area of each node is an irregular region other than a circular area. In this paper, we assume the wireless nodes are represented by a Poisson point process with density n over a unit-area disk. With the boundary effect taken into consideration, we prove analytically that network connectivity increases when the radio propagation becomes more irregular (i.e., the shadowing deviation increases) under such a realistic shadowing model.
无线电不规则性对对数正态阴影无线网络连通性的影响
为了更好地理解对数正态阴影下多跳无线网络的连通性,我们在这种真实的阴影模型下研究了无线电不规则性对网络连通性的影响。现有的结果表明,当无线电传播变得更加不规则时,连通性会增加。但所有这些结果都是基于模拟研究或假设忽略了重要的边界效应,以避免具有挑战性的技术分析。因此,它们很难应用于任何实际的无线网络。在这种现实模型下考虑复杂的边界效应是极具挑战性的,因为每个节点的传输区域都是不规则区域,而不是圆形区域。在本文中,我们假设无线节点用密度为n的泊松点过程在单位面积圆盘上表示。在考虑边界效应的情况下,我们解析地证明了在这种真实的阴影模型下,当无线电传播变得更加不规则(即阴影偏差增加)时,网络连通性增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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