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A Prototype of the Crowdsensing System for Pollution Monitoring in a Smart City Based on Data Streaming

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Information Systems and Technologies (WorldCIST 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 801))

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Abstract

This paper proposes a prototype of the crowdsensing system for pollution monitoring in a smart city based on data streaming. The first part of the paper analyses concepts, characteristics, and platforms for data streaming. The Apache Kafka solution for data flow management is described. The paper proposes infrastructure for data streaming from the IoT crowdsensing systems for monitoring pollution in smart cities. Crowdsensing services included in this system enable the monitoring of pollution parameters in smart cities. Collected pollution data in the smart city (traffic vibrations, noise, allergens, and air pollution) can be conducted using the Internet of Things (microcomputers, microcontrollers, sensors, etc.) and mobile devices, sent to the Apache Kafka cluster using the MQTT protocol, and then data can be streamed via the web application to end users. Active parts in collecting pollution data have citizens. All collected data can be processed, analyzed, and streamed using the proposed data streaming infrastructure for smart city crowdsensing systems.

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Authors and Affiliations

  1. Faculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia

    Aleksa Miletić, Marijana Despotović-Zrakić, Zorica Bogdanović & Tamara Naumović

  2. School of Computing, Union University, Belgrade, Serbia

    Miloš Radenković

Authors
  1. Aleksa Miletić
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  2. Marijana Despotović-Zrakić
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  3. Zorica Bogdanović
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  4. Miloš Radenković
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  5. Tamara Naumović
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Corresponding author

Correspondence to Zorica Bogdanović .

Editor information

Editors and Affiliations

  1. ISEG, Universidade de Lisboa, Lisbon, Cávado, Portugal

    Alvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania

    Gintautas Dzemyda

  4. DCT, Universidade Portucalense, Porto, Portugal

    Fernando Moreira

  5. TeCIP Institute, Scuola Superiore Sant’Anna, Pisa, Italy

    Valentina Colla

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Miletić, A., Despotović-Zrakić, M., Bogdanović, Z., Radenković, M., Naumović, T. (2024). A Prototype of the Crowdsensing System for Pollution Monitoring in a Smart City Based on Data Streaming. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F., Colla, V. (eds) Information Systems and Technologies. WorldCIST 2023. Lecture Notes in Networks and Systems, vol 801. Springer, Cham. https://doi.org/10.1007/978-3-031-45648-0_5

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