Design and Optimization of an IoT-Based Air Pollution Sensing Network for Seasonal Monitoring in Industrial Zones

Nadhir Ibrahim Abdulkhaleq

doi:10.54287/gujsa.1809172

Design and Optimization of an IoT-Based Air Pollution Sensing Network for Seasonal Monitoring in Industrial Zones

Abstract

Simulation modeling is essential for designing effective air pollution monitoring systems, especially in industrial zones where pollutant behavior varies seasonally. This paper presents a MATLAB-based framework for optimizing the layout of an IoT-enabled sensor network for gas dispersion monitoring around a power plant. a Gaussian plume model was used to simulate pollutant concentration under four seasonal wind profiles (January, April, July, October), and sensor effectiveness was evaluated for a fixed layout. to improve performance, two evolutionary algorithms, particle swarm optimization (PSO) and genetic algorithm (GA) were applied to maximize exposure while minimizing node count and deployment cost. results showed that both methods significantly outperformed the fixed layout, with PSO offering slightly better coverage-efficiency trade-offs. The framework enables robust, season-aware planning of air quality monitoring networks and supports smart environmental decision-making. Future extensions may incorporate energy-aware constraints and real-time deployment strategies.

Keywords

References

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Details

Primary Language

English

Subjects

Network Engineering

Journal Section

Research Article

Authors

Nadhir Ibrahim Abdulkhaleq ^*
0000-0002-5735-5924
Iraq

Publication Date

March 31, 2026

Submission Date

October 23, 2025

Acceptance Date

February 3, 2026

Published in Issue

Year 2026 Volume: 13 Number: 1

DOI

https://doi.org/10.54287/gujsa.1809172

IZ

https://izlik.org/JA82PZ75EA

Cite

RIS / Bibtex

APA

Abdulkhaleq, N. I. (2026). Design and Optimization of an IoT-Based Air Pollution Sensing Network for Seasonal Monitoring in Industrial Zones. Gazi University Journal of Science Part A: Engineering and Innovation, 13(1), 135-145. https://doi.org/10.54287/gujsa.1809172

AMA

1.Abdulkhaleq NI. Design and Optimization of an IoT-Based Air Pollution Sensing Network for Seasonal Monitoring in Industrial Zones. GU J Sci, Part A. 2026;13(1):135-145. doi:10.54287/gujsa.1809172

Chicago

Abdulkhaleq, Nadhir Ibrahim. 2026. “Design and Optimization of an IoT-Based Air Pollution Sensing Network for Seasonal Monitoring in Industrial Zones”. Gazi University Journal of Science Part A: Engineering and Innovation 13 (1): 135-45. https://doi.org/10.54287/gujsa.1809172.

EndNote

Abdulkhaleq NI (March 1, 2026) Design and Optimization of an IoT-Based Air Pollution Sensing Network for Seasonal Monitoring in Industrial Zones. Gazi University Journal of Science Part A: Engineering and Innovation 13 1 135–145.

IEEE

[1]N. I. Abdulkhaleq, “Design and Optimization of an IoT-Based Air Pollution Sensing Network for Seasonal Monitoring in Industrial Zones”, GU J Sci, Part A, vol. 13, no. 1, pp. 135–145, Mar. 2026, doi: 10.54287/gujsa.1809172.

ISNAD

Abdulkhaleq, Nadhir Ibrahim. “Design and Optimization of an IoT-Based Air Pollution Sensing Network for Seasonal Monitoring in Industrial Zones”. Gazi University Journal of Science Part A: Engineering and Innovation 13/1 (March 1, 2026): 135-145. https://doi.org/10.54287/gujsa.1809172.

JAMA

1.Abdulkhaleq NI. Design and Optimization of an IoT-Based Air Pollution Sensing Network for Seasonal Monitoring in Industrial Zones. GU J Sci, Part A. 2026;13:135–145.

MLA

Abdulkhaleq, Nadhir Ibrahim. “Design and Optimization of an IoT-Based Air Pollution Sensing Network for Seasonal Monitoring in Industrial Zones”. Gazi University Journal of Science Part A: Engineering and Innovation, vol. 13, no. 1, Mar. 2026, pp. 135-4, doi:10.54287/gujsa.1809172.

Vancouver

1.Nadhir Ibrahim Abdulkhaleq. Design and Optimization of an IoT-Based Air Pollution Sensing Network for Seasonal Monitoring in Industrial Zones. GU J Sci, Part A. 2026 Mar. 1;13(1):135-4. doi:10.54287/gujsa.1809172