A study to understand the impact of node density on data dissemination time in opportunistic networks

Kamini Garg, S. Giordano, Anna Förster
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引用次数: 13

Abstract

In this paper, we study the impact of node density on data dissemination time and achieved data quality in a distributed people-centric system. Our results are obtained through an extensive simulation campaign employing Random Way Point and Random Direction mobility and realistic node densities of real environments. Our simulation results show that, the impact of node density does not significantly affect the data dissemination time after a certain threshold of node density, without compromising the achieved data quality. This result is evident for both mobility models. Our study provides an insight to the parameters we need to consider while evaluating the success of any distributed people-centric system.
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机会网络中节点密度对数据传播时间影响的研究
本文研究了以人为中心的分布式系统中节点密度对数据传播时间和数据质量的影响。我们的结果是通过广泛的模拟活动,采用随机路径点和随机方向流动性和真实环境的现实节点密度获得的。我们的仿真结果表明,在节点密度达到一定阈值后,节点密度对数据传播时间的影响并不显著,且不影响所获得的数据质量。这一结果在两种迁移模型中都很明显。我们的研究为我们在评估任何以人为中心的分布式系统的成功时需要考虑的参数提供了见解。
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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