Assessing Real-Time Health Impacts of outdoor Air Pollution through IoT Integration

Authors

  • Pradeep Mullangi Department of ECE, Shri Vishnu Engineering College for Women, Bhimavaram, India
  • K. M. V. Madan Kumar Department of CSE, Vignan Institute of Technology and Science, Hyderabad, Telangana State, India
  • Gera Vijaya Nirmala Department of ECE, CVR College of Engineering, Hyderabad, Telangana State, India
  • Ramesh Chandra Aditya Komperla Senior Engineer, Geico, USA
  • Nagalinagam Rajeswaran Electrical and Electronics Engineering, Malla Reddy College of Engineering, Secunderabad, India
  • Amar Y. Jaffar Computer and Network Engineering Department, College of Computing, Umm Al-Qura University, Makkah, Saudi Arabia
  • Abdullah Alwabli Department of Electrical Engineering, College of Engineering and Computing in Alqunfudah, Umm Al-Qura University, Mecca 21955, Saudi Arabia
  • Saeed Faisal Malky Department of Electrical and Electronics Engineering, University of Jeddah, Jeddah, Saudi Arabia
Volume: 14 | Issue: 2 | Pages: 13796-13803 | April 2024 | https://doi.org/10.48084/etasr.6981

Abstract

Air pollution constitutes a significant global challenge in both public health and the environment, particularly for countries undergoing industrialization and transitioning from low- to middle-income economies. This study aims to investigate the feasibility and effectiveness of a real-time air quality prediction system based on data collected from Internet of Things (IoT) sensors to help people and public institutions track and manage atmospheric pollution. The primary objective of this study was to investigate whether an IoT-based approach can provide accurate and continuous real-time air quality forecasting. The standard dataset provided by the Indian government was analyzed using regression, traditional Long-Short-Term Memory (LTSM), and bidirectional LSTM (BLSTM) models to evaluate their performance on multivariate air quality features. The results show that the proposed BLSTM model outperformed the other models in minimizing RMSE errors and avoiding overfitting.

Keywords:

Internet of Things, air pollution, LSTM, health controllers

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Author Biography

Pradeep Mullangi, Department of ECE, Shri Vishnu Engineering College for Women, Bhimavaram, India

 

 

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How to Cite

[1]
P. Mullangi, “Assessing Real-Time Health Impacts of outdoor Air Pollution through IoT Integration”, Eng. Technol. Appl. Sci. Res., vol. 14, no. 2, pp. 13796–13803, Apr. 2024.

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