Simulation Application of Fog Computing for IoT Solutions in Smart Cities

Creative Commons License

Özdoğan E.

4. INTERNATIONAL SELÇUK SCIENTIFIC RESEARCH AND INNOVATION CONGRESS, Konya, Türkiye, 24 - 25 Ağustos 2024, ss.843-845, (Özet Bildiri)

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: Konya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.843-845
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Gazi Üniversitesi Adresli: Evet

Özet

This study emphasizes the importance of simulation technologies in developing and testing IoT (Internet of Things) applications. While IoT applications simplify daily life, the large-scale prototyping process can be challenging due to economic and operational difficulties, especially in the early stages. Testing the functionality of a solution in pre-production prototyping without getting bogged down in technical details allows developers to use time and resources more efficiently. Therefore, using simulation tools minimizes labor and time loss in the design process. These tools significantly contribute to the learning process, especially in engineering education, by facilitating understanding the concepts.

 

The study focuses on the use of simulation software (PT) in IoT and fog computing applications. PT supports many IoT components, enabling the solution to focus on its purpose before real prototypes are created and enhancing developers' creativity. By simulating scenarios that may be difficult or costly to implement in the real world, this software allows for evaluating the solution's functionality without getting lost in technical details.

 

Within the study, two different scenarios used in smart city applications were simulated. The first scenario simulated traffic light management based on the number of vehicles, while the second scenario involved processing road temperature and wetness data. In both scenarios, processing and evaluating data locally in the fog layer instead of the cloud reduces network load and increases system flexibility.

 

In conclusion, this study conducted simulations of IoT-supported fog computing applications using PT software. These simulations provide an effective method for testing the functionality of a solution in the pre-production prototyping phase without getting bogged down in technical details. The study highlights that PT is a crucial tool for evaluating IoT solutions, particularly in the early learning stages, in areas such as security, accessibility, scalability, and quality of service.