A Data Streaming Architecture for Air Quality Monitoring in Smart Cities
Апстракт
This paper aims to present a modeling approach for the seamless data streaming process from smart IoT systems to Apache Kafka, leveraging the MQTT protocol. The paper begins by discussing the concept of real-time data streaming, emphasizing the need to transfer data from IoT/edge devices and sensors to Apache Kafka in a timely manner. The second part consists of a literature overview that shows the analysis and systematization of different types of architectures in the broad sense of crowdsensing, followed by specific architectures regarding edge and cloud computing. The methodology section will propose an infrastructure and data streaming architecture for smart environment services, such as air quality monitoring. Lastly, a discussion about results and future development will be shown in the last two sections. The proposed integration approach offers several advantages, including efficient and scalable data streaming, real-time analytics, and enhanced data processing capabilities.
Кључне речи:
real-time data streaming / smart healthcare / Apache Kafka / data integration / stream processingИзвор:
Athens Journal of Technology and Engineering, 2023, 10, 4, 215-226Издавач:
- Engineering Division
Институција/група
Fakultet organizacionih naukaTY - JOUR AU - Miletić, Aleksa AU - Lukovac, Petar AU - Naumović, Tamara AU - Stojanović, Danijela AU - Labus, Aleksandra PY - 2023 UR - https://rfos.fon.bg.ac.rs/handle/123456789/2723 AB - This paper aims to present a modeling approach for the seamless data streaming process from smart IoT systems to Apache Kafka, leveraging the MQTT protocol. The paper begins by discussing the concept of real-time data streaming, emphasizing the need to transfer data from IoT/edge devices and sensors to Apache Kafka in a timely manner. The second part consists of a literature overview that shows the analysis and systematization of different types of architectures in the broad sense of crowdsensing, followed by specific architectures regarding edge and cloud computing. The methodology section will propose an infrastructure and data streaming architecture for smart environment services, such as air quality monitoring. Lastly, a discussion about results and future development will be shown in the last two sections. The proposed integration approach offers several advantages, including efficient and scalable data streaming, real-time analytics, and enhanced data processing capabilities. PB - Engineering Division T2 - Athens Journal of Technology and Engineering T1 - A Data Streaming Architecture for Air Quality Monitoring in Smart Cities EP - 226 IS - 4 SP - 215 VL - 10 DO - 10.30958/ajte.10-4-2 ER -
@article{ author = "Miletić, Aleksa and Lukovac, Petar and Naumović, Tamara and Stojanović, Danijela and Labus, Aleksandra", year = "2023", abstract = "This paper aims to present a modeling approach for the seamless data streaming process from smart IoT systems to Apache Kafka, leveraging the MQTT protocol. The paper begins by discussing the concept of real-time data streaming, emphasizing the need to transfer data from IoT/edge devices and sensors to Apache Kafka in a timely manner. The second part consists of a literature overview that shows the analysis and systematization of different types of architectures in the broad sense of crowdsensing, followed by specific architectures regarding edge and cloud computing. The methodology section will propose an infrastructure and data streaming architecture for smart environment services, such as air quality monitoring. Lastly, a discussion about results and future development will be shown in the last two sections. The proposed integration approach offers several advantages, including efficient and scalable data streaming, real-time analytics, and enhanced data processing capabilities.", publisher = "Engineering Division", journal = "Athens Journal of Technology and Engineering", title = "A Data Streaming Architecture for Air Quality Monitoring in Smart Cities", pages = "226-215", number = "4", volume = "10", doi = "10.30958/ajte.10-4-2" }
Miletić, A., Lukovac, P., Naumović, T., Stojanović, D.,& Labus, A.. (2023). A Data Streaming Architecture for Air Quality Monitoring in Smart Cities. in Athens Journal of Technology and Engineering Engineering Division., 10(4), 215-226. https://doi.org/10.30958/ajte.10-4-2
Miletić A, Lukovac P, Naumović T, Stojanović D, Labus A. A Data Streaming Architecture for Air Quality Monitoring in Smart Cities. in Athens Journal of Technology and Engineering. 2023;10(4):215-226. doi:10.30958/ajte.10-4-2 .
Miletić, Aleksa, Lukovac, Petar, Naumović, Tamara, Stojanović, Danijela, Labus, Aleksandra, "A Data Streaming Architecture for Air Quality Monitoring in Smart Cities" in Athens Journal of Technology and Engineering, 10, no. 4 (2023):215-226, https://doi.org/10.30958/ajte.10-4-2 . .