Fog Computing in IoT-Driven Smart City Traffic Control Systems

Authors

https://doi.org/10.48313/siot.v2i1.243

Abstract

This study explores the use of AI-IoT-based optimization techniques for smart city waste management. As urban populations grow, effective waste management becomes increasingly crucial to maintain cleanliness, public health, and sustainability. Integrating Artificial Intelligence (AI) with the Internet of Things (IoT) presents innovative ways to optimize waste collection, sorting, and disposal. This paper examines current AI-IoT applications, identifies challenges, and proposes solutions to enhance system efficiency, reduce costs, and support environmentally friendly urban development. This research aims to contribute to the growing body of knowledge on sustainable waste management practices in smart cities.

Keywords:

Fog computing, Internet of Things, Smart city, Traffic control, Real-time processing

References

  1. [1] De Souza, A. M., Brennand, C. A. R. L., Yokoyama, R. S., Donato, E. A., Madeira, E. R. M., & Villas, L. A. (2017). Traffic management systems: A classification, review, challenges, and future perspectives. International Journal of Distributed Sensor Networks, 13(4), 1550147716683612. https://doi.org/10.1177/1550147716683612
  2. [2] Dhingra, S., Madda, R. B., Patan, R., Jiao, P., Barri, K., & Alavi, A. H. (2021). Internet of things-based fog and cloud computing technology for smart traffic monitoring. Internet of Things, 14, 100175. https://doi.org/10.1016/j.iot.2020.100175
  3. [3] Brennand, C. A. R. L., Filho, G. P. R., Maia, G., Cunha, F., Guidoni, D. L., & Villas, L. A. (2019). Towards a fog-enabled intelligent transportation system to reduce traffic jam. Sensors, 19(18), 3916. https://doi.org/10.3390/s19183916
  4. [4] Songhorabadi, M., Rahimi, M., MoghadamFarid, A., & Kashani, M. H. (2023). Fog computing approaches in IoT-enabled smart cities. Journal of Network and Computer Applications, 211, 103557. https://doi.org/10.1016/j.jnca.2022.103557
  5. [5] Khan, S. A., Naim, I., Kusi-Sarpong, S., Gupta, H., & Idrisi, A. R. (2021). A knowledge-based experts’ system for evaluation of digital supply chain readiness. Knowledge-Based Systems, 228, 107262. https://doi.org/10.1016/j.knosys.2021.107262
  6. [6] Rezapour, R., Asghari, P., Javadi, H. H. S., & Ghanbari, S. (2021). Security in fog computing: A systematic review on issues, challenges and solutions. Computer Science Review, 41, 100421. https://doi.org/10.1016/j.cosrev.2021.100421
  7. [7] Zolghadri, M., Asghari, P., Dashti, S. E., & Hedayati, A. (2024). Resource allocation in fog--cloud environments: State of the art. Journal of Network and Computer Applications, 227, 103891. https://doi.org/10.1016/j.jnca.2024.103891
  8. [8] Patwary, A. A.N., Naha, R. K., Garg, S., Battula, S. K., Patwary, M. A. K., Aghasian, E., … Gong, M. (2021). Towards secure fog computing: A survey on trust management, privacy, authentication, threats and access control. Electronics, 10(10), 1171. https://doi.org/10.3390/electronics10101171
  9. [9] Hong, C.H., & Varghese, B. (2019). Resource management in fog/edge computing: a survey on architectures, infrastructure, and algorithms. ACM computing Surveys (CSUR), 52(5), 1–37. https://doi.org/10.1145/3326066
  10. [10] Tang, Z., Zeng, A., Zhang, X., Yang, L., & Li, K. (2020). Dynamic memory-aware scheduling in spark computing environment. Journal of Parallel and Distributed Computing, 141, 10–22. https://doi.org/10.1016/j.jpdc.2020.03.010
  11. [11] Alwarafy, A., Al-Thelaya, K. A., Abdallah, M., Schneider, J., & Hamdi, M. (2020). A survey on security and privacy issues in edge-computing-assisted internet of things. IEEE Internet of Things Journal, 8(6), 4004–4022. https://doi.org/10.1109/JIOT.2020.3015432
  12. [12] Thangavel, D., Ma, X., Valera, A., Tan, H. X., & Tan, C. K. Y. (2014). Performance evaluation of MQTT and CoAP via a common middleware. In 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) (pp. 1-6). IEEE. https://doi.org/10.1109/ISSNIP.2014.6827678
  13. [13] Zuo, L., Zhu, M. M., & Chang, C.H. (2019). Optimizing trade-off between cost and performance of data transfers using bandwidth reservation in dedicated networks. Journal of Network and Systems Management, 27(1), 166–187. https://doi.org/10.1007/s10922-018-9463-2%0A%0A

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Published

2026-08-28

Issue

Vol. 3 No. 3 (2026): Smart Internet of Things

Section

Articles

How to Cite

Sambhav, K., & Ekbatanifard, A. . (2026). Fog Computing in IoT-Driven Smart City Traffic Control Systems. Smart Internet of Things, 3(3), 118-126. https://doi.org/10.48313/siot.v2i1.243

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