Internet of things (IoT) is one of the modern technologies, developing existing cellular communication networks to the emerging fifth-generation technology. The traffic modelling of IoT applications is different from the recommended traffic modelling of a Human-type communication. Numerous unstructured data arise from rapid growth of IoT heterogeneous networks and services. One of challenges occurs by diverse IoT unstructured data is a variety of IoT data characteristics, which increase traffic modelling influences. The study of IoT characteristics has a crucial role in modelling data bursts of IoT use cases. This study proposes an enhanced ON/OFF traffic modelling technique to model IoT data characteristics of diverse applications, especially the IoT smart city. A novel modelling technique categorises and analyses characteristics of IoT smart city use case into five major traffic patterns. In this study, realistic smart home networks were built as a part of IoT smart city in an experimental model. Massive traffic profiles are generated from a pilot according to a proposed IoT smart city architecture model. Various traffic profiles of a pilot are modelled into theoretical models by Easy-Fit tool. Traffic modelling concept of a novel technique and their five traffic patterns are proven in the pilot results.

中文翻译：

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智慧城市物联网架构的流量建模

物联网（IoT）是现代技术之一，将现有的蜂窝通信网络发展为新兴的第五代技术。物联网应用的流量建模与建议的人型通信流量建模不同。IoT异构网络和服务的快速增长产生了许多非结构化数据。各种物联网非结构化数据带来的挑战之一是各种物联网数据特征，这些特征增加了流量建模的影响。物联网特性的研究对于物联网用例的数据突发建模具有至关重要的作用。这项研究提出了一种增强的ON / OFF流量建模技术，可以对各种应用程序（尤其是IoT智慧城市）的IoT数据特征进行建模。一种新颖的建模技术将物联网智能城市用例的特征分类并分析为五种主要流量模式。在这项研究中，通过实验模型将现实的智能家居网络构建为物联网智能城市的一部分。根据建议的IoT智慧城市建筑模型，从飞行员生成了大量的流量概况。通过Easy-Fit工具将飞行员的各种交通状况建模为理论模型。试验结果证明了一种新技术的交通建模概念及其五种交通模式。通过Easy-Fit工具将飞行员的各种交通状况建模为理论模型。试验结果证明了一种新技术的交通建模概念及其五种交通模式。通过Easy-Fit工具将飞行员的各种交通状况建模为理论模型。试验结果证明了一种新技术的交通建模概念及其五种交通模式。