Traffic modelling of smart city internet of things architecture

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.