A Simulation-Based Smart City Architecture Using Arduino and Cisco Packet Tracer

Authors

  • Md Rakeen Islam Nahin Department of computer science, Military Institute of Science and Technology, Dhaka, Bangladesh

DOI:

https://doi.org/10.70112/ajcst-2025.14.2.4376

Keywords:

IoT-Based Smart City Management, Smart Technologies, Traffic Control, Pollution Regulation, Automation

Abstract

With rapid technological progress, modern cities increasingly demand real-time responses to ensure convenience, cost-efficiency, and public safety. The IoT-Based Smart City Management project addresses this need by integrating smart technologies with civil infrastructure through a model developed in Cisco Packet Tracer, supported by Arduino Uno and relevant modules. The system combines intelligent traffic control, air pollution regulation, automated fire response, IP-based communication, and smart parking. Motion detectors enable adaptive traffic signals and real-time parking availability updates via LEDs and banners, while a pollution sensor activates a blower and CO2 purifier to maintain air quality. Fire detection systems instantly trigger alarms and extinguishers, enhancing the safety response. IP phones replace traditional telephony to reduce costs and delays. These systems function collaboratively to streamline urban management, reduce manual intervention, and enhance service delivery across multiple domains. By enabling automation and continuous monitoring, the framework not only improves urban infrastructure responsiveness but also contributes to long-term sustainability goals. As such implementations may vary by context; a trial-and-error approach is advised before wide-scale adoption.

References

[1] A. Morchid, “Integrated Internet of Things (IoT) solutions for early fire detection in smart agriculture,” Sensors, vol. 23, no. 12, p. 3456, 2023.

[2] A. A. Aserkar, S. R. Godla, Y. A. B. El-Ebiary, Krishnamoorthy, and J. V. N. Ramesh, “Real-time air quality monitoring in smart cities using IoT-enabled advanced optical sensors,” 2023.

[3] [3] V. H. Vasanthamma, S. Navali, S. S. Shreya, Kritika, and Sharon Lilly, “Smart traffic control system,” 2023.

[4] A. Bahga and V. Madisetti, Internet of Things: A Hands-On Approach, 2014.

[5] Cisco Press, CCNA 200-301 Official Cert Guide, Vol. 1 & 2, 2020.

[6] S. Felici-Castell et al., “AI-IoT low-cost pollution-monitoring sensor network to assist citizens with respiratory problems,” Sensors, vol. 23, no. 23, p. 9585, 2023.

[7] L. García, A.-J. Garcia-Sanchez, R. Asorey-Cacheda, J. Garcia-Haro, and C.-L. Zúñiga-Cañón, “Smart air quality monitoring IoT-based infrastructure for industrial environments,” Sensors, vol. 22, no. 23, p. 9221, 2022.

[8] J. Bobulski, S. Szymoniak, and K. Pasternak, “An IoT system for air pollution monitoring with safe data transmission,” Sensors, vol. 24, no. 2, p. 445, 2023.

[9] R. Saritha et al., “Reliability analysis of an IoT-based air pollution monitoring system using machine learning algorithm-BDBN,” Cybernetics and Information Technologies, vol. 23, no. 4, pp. 233–250, 2023.

[10] I. Gryech, C. Assad, M. Ghogho, and A. Kobbane, “Applications of machine learning and IoT for outdoor air pollution monitoring and prediction: A systematic literature review,” arXiv:2401.01788, 2024.

[11] J. Miao, D. Rajasekhar, S. Mishra, S. K. Nayak, and R. Yadav, “A fog-based smart agriculture system to detect animal intrusion,” arXiv:2308.06614, 2023.

[12] A. Morchid, “Integrated Internet of Things (IoT) solutions for early fire detection in smart agriculture,” Sensors, vol. 23, no. 12, p. 3456, 2023.

[13] S. C. Rai et al., “ITSS: An intelligent traffic signaling system based on an IoT infrastructure,” Electronics, vol. 12, no. 5, p. 1177, 2023.

[14] A. Elsayed, K. Mohamed, and H. Harb, “Enhanced traffic congestion management with fog computing: A simulation-based investigation using iFog-Simulator,” arXiv:2311.01181, 2023.

[15] M. Mokhtari, A. Hosseini, A. Habibi, A. Karshenas, and A. Amoomahdi, “Intelligent traffic control with smart speed bumps,” arXiv:2307.00433, 2023.

[16] A. I. A. Alzahrani, S. H. Chauhdary, and A. A. Alshdadi, “Internet of Things (IoT)-based wastewater management in smart cities,” Electronics, vol. 12, no. 12, p. 2590, 2023.

[17] M. H. Kabir et al., “Design and implement IoT-based intelligent manageable smart street lighting systems for future smart city,” Engineering Proceedings, vol. 56, no. 1, p. 147, 2023.

[18] F. Zhou, C. Pan, and H. Tang, “Sensors on Internet of Things systems for the sustainable development of smart cities: A systematic literature review,” Sensors, vol. 24, no. 7, p. 2074, 2024.

[19] Wikipedia contributors, “Air pollution measurement,” *Wikipedia*, 2025. [Online]. Available: https://en.wikipedia.org/wiki/Air_pollution_measurement.

[20] K. Acharya and S. V. Kolekar, “Air quality monitoring system development using IoT for indoor applications,” Int. J. Intell. Syst. Appl. Eng., vol. 12, no. 11s, pp. 86–95, 2024.

[21] J. Lee, H. Kim, and S. Park, “Deep learning-based air pollution forecasting using IoT sensor data in smart cities,” IEEE Internet of Things Journal, vol. 10, no. 4, pp. 2815–2827, 2023.

[22] M. S. Ahmed, R. R. Z. Khan, and T. Islam, “An IoT framework for wildfire detection using wireless sensor networks and machine learning,” Journal of Network and Computer Applications, vol. 210, 2023.

[23] P. Singh, A. K. Singh, and R. K. Tripathi, “Secure IoT-based smart city architecture with blockchain integration,” IEEE Transactions on Industrial Informatics, vol. 19, no. 2, pp. 1105–1115, 2023.

[24] Y. Chen, X. Liu, and M. Ding, “A smart traffic management system with edge computing and deep reinforcement learning,” IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 3, pp. 2345–2355, 2023.

[25] K. Gupta and S. Sharma, “Energy-efficient IoT sensor networks for urban air quality monitoring,” Sensors, vol. 23, no. 15, p. 6890, 2023.

Downloads

Published

05-11-2025

How to Cite

Nahin, M. R. I. (2025). A Simulation-Based Smart City Architecture Using Arduino and Cisco Packet Tracer. Asian Journal of Computer Science and Technology , 14(2), 21–36. https://doi.org/10.70112/ajcst-2025.14.2.4376

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.