| Title |
Traffic modelling of smart city internet of things architecture |
| ID_Doc |
35899 |
| Authors |
Ibrahim, AS; Youssef, KY; Kamel, H; Abouelatta, M |
| Title |
Traffic modelling of smart city internet of things architecture |
| Year |
2020 |
| Published |
Iet Communications, 14, 8 |
| Abstract |
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. |
| PDF |
https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-com.2019.1252
|
