A Data Streaming Architecture for Air Quality Monitoring in Smart Cities

Miletić, Aleksa and Lukovac, Petar and Naumović, Tamara and Stojanović, Danijela and Labus, Aleksandra (2023) A Data Streaming Architecture for Air Quality Monitoring in Smart Cities. Athens journal of technology & engineering, 10 (4). pp. 215-226. ISSN 2241-8237

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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.

Item Type: Article
Additional Information: COBISS.ID=131577609
Uncontrolled Keywords: real-time data streaming, smart healthcare, Apache Kafka, data integration, stream processing
Research Department: Welfare Economics
Depositing User: Jelena Banovic
Date Deposited: 22 Dec 2023 09:28
Last Modified: 22 Dec 2023 09:28
URI: http://ebooks.ien.bg.ac.rs/id/eprint/1987

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