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Estimation of a growth factor to achieve scalable ad hoc networks

机译:估计实现可扩展的ad hoc网络的增长因素

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Introduction: this study focuses on determining the conditions that guarantee scalability in a hierarchical architecture based on the resources available in the different layers of the network. Methods: a model based on the truncated geometric distribution that allows the characterization of the available resources in an ad hoc network was proposed. From this characterization, the concept of growth factor j was introduced as a constant value that represents the appropriate relationship from among the available resources in two successive layers of the network to ensure scalability. The ns-3 software was used to develop simulation scenarios that were explored to develop the estimation process of the growth factor j in the ad hoc networks of two- and three-layer hierarchical architectures. Results: The results showed that the growth of resources among the layers in an ad hoc network can be expressed in a linear model. Moreover, a relation was found between the estimated value of j and the golden ratio as a way to inspire the design of artificial systems based on attributes that can be found in nature.
机译:简介:本研究的重点是基于网络不同层中可用的资源,确定确保分层体系结构中可伸缩性的条件。方法:提出了一种基于截断的几何分布的模型,该模型允许表征自组织网络中的可用资源。通过这种表征,引入增长因子j的概念作为一个常数,该常数表示网络的两个连续层中可用资源之间的适当关系,以确保可伸缩性。使用ns-3软件开发仿真方案,该仿真方案用于开发两层和三层分层体系结构的自组织网络中生长因子j的估计过程。结果:结果表明,自组织网络中各层之间资源的增长可以用线性模型表示。此外,发现了j的估计值与黄金分割率之间的关系,以此为根据自然界中存在的属性启发人工系统设计的一种方式。

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