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Towards a Framework Air Pollution Monitoring System Based on IoT Technology

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Innovation in Information Systems and Technologies to Support Learning Research (EMENA-ISTL 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 7))

Abstract

One of the most discussed and concerning environmental issues nowadays is air pollution. Fast-growing population and urbanization have resulted in deteriorated air quality in urban areas. Furthermore, heavy transportation help contributes to poor air quality, which can cause damages to human health due to prolonged exposure and inhalation of pollutants. Therefore, there has been a growing interest in developing a system for monitoring air quality using big sensor data analytics. The systems for inferring air quality are proposed to help inform the public with real time air pollution data and guide them in making daily decisions affecting their respiratory health. This paper presents an IoT-Based framework for environmental pollution monitoring and control system that can detect and monitor the existence of harmful gases in the environment using Big Data analytics. Integration of IoT technology with big data analytics creates an autonomic air pollution monitoring system that has great potential to assist in controlling air quality.

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Author information

Authors and Affiliations

  1. LIMSAD Labs, Faculty of Sciences Ain Chock, Hassan II University of Casablanca, Km 8 Route d’El Jadida, Casablanca, Morocco

    Anass Souilkat, Khalid Mousaid, Nourdinne Abghour, Mohamed Rida & Amina Elomri

Authors
  1. Anass Souilkat
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  2. Khalid Mousaid
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  3. Nourdinne Abghour
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  4. Mohamed Rida
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  5. Amina Elomri
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Corresponding author

Correspondence to Anass Souilkat .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Faculty of Sciences, Mohammed Premier University, Oujda, Morocco

    Mohammed Serrhini

  2. Department of Computer Science, School of Management Sciences, Engineering and Technology, Atlantica University, Lisbon, Portugal

    Carla Silva

  3. Department of Computer Science, Taif University, College of Computers and Information Technology, Al Huwaya, Saudi Arabia

    Sultan Aljahdali

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Souilkat, A., Mousaid, K., Abghour, N., Rida, M., Elomri, A. (2020). Towards a Framework Air Pollution Monitoring System Based on IoT Technology. In: Serrhini, M., Silva, C., Aljahdali, S. (eds) Innovation in Information Systems and Technologies to Support Learning Research. EMENA-ISTL 2019. Learning and Analytics in Intelligent Systems, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-030-36778-7_29

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