论文标题
关于大型IoT网络的可观察性和可控性：通过链接添加减少无与伦比的节点数量
On the Observability and Controllability of Large-Scale IoT Networks: Reducing Number of Unmatched Nodes via Link Addition
论文作者
论文摘要
在本文中，我们从可观察性和可控性方面研究了大规模网络。特别是，我们比较了两种主要类型的无标度（SF）网络中无与伦比的节点的数量：Barab {Á} Si-Albert（BA）模型和Holme-Kim（HK）模型。比较基于理论和仿真的两个模型，我们讨论了聚类系数与无与伦比的节点数量之间的可能关系。在这个方向上，我们提出了一种新算法，以通过链接添加减少无与伦比的节点的数量。结果很重要，因为人们可以减少无与伦比的节点的数量，因此可以减少嵌入式传感器/执行器的数量，例如，在IoT网络中。这可能会大大降低控制设备或监视大规模系统中的成本成本。
In this paper, we study large-scale networks in terms of observability and controllability. In particular, we compare the number of unmatched nodes in two main types of Scale-Free (SF) networks: the Barab{á}si-Albert (BA) model and the Holme-Kim (HK) model. Comparing the two models based on theory and simulation, we discuss the possible relation between clustering coefficient and the number of unmatched nodes. In this direction, we propose a new algorithm to reduce the number of unmatched nodes via link addition. The results are significant as one can reduce the number of unmatched nodes and therefore number of embedded sensors/actuators in, for example, an IoT network. This may significantly reduce the cost of controlling devices or monitoring cost in large-scale systems.
