Research Article

Edge Computing and IoT-Based Urban Environment Monitoring Solutions

Authors

  • Abhisek Mishra * School of Computer Science Engineering, KIIT University, Bhubaneswar, India.

https://doi.org/10.48314/ceti.v1i3.34

Abstract

The increasing environmental challenges in urban areas, such as air pollution, noise, and rising temperatures, demand efficient real-time monitoring systems for sustainable city management. However, traditional cloud-based solutions struggle with latency, bandwidth limitations, and privacy concerns, making them less suitable for time-sensitive environmental monitoring. This paper explores the integration of edge computing and Internet of Things (IoT) technologies to develop responsive and scalable urban environmental monitoring solutions. IoT sensors deployed across cities collect data on various environmental parameters, while edge devices process this data locally, reducing the need for continuous cloud communication. The proposed system improves real-time responsiveness, minimizes network congestion, enhances data privacy, and reduces energy consumption. This study also addresses key challenges such as network reliability, resource management, and data security in edge-IoT systems. By implementing predictive analytics and real-time alerts, these solutions empower urban planners with actionable insights, supporting smarter, greener, and more sustainable cities.

Keywords

Edge computing Internet of things Urban environmental monitoring Real-time data processing
References (11)
  1. [1] Chinnici, M., & De Vito, S. (2022). IoT meets opportunities and challenges: edge computing in deep urban environment. In Dependable iot for human and industry (pp. 241–272). River Publishers. B2n.ir/n91422

  2. [2] Idrees, Z., Zou, Z., & Zheng, L. (2018). Edge computing based IoT architecture for low cost air pollution monitoring systems: A comprehensive system analysis, design considerations & development. Sensors, 18(9), 3021. https://doi.org/10.3390/s18093021

  3. [3] Vimal, S., Suresh, A., Subbulakshmi, P., Pradeepa, S., & Kaliappan, M. (2020). Edge computing-based intrusion detection system for smart cities development using IoT in urban areas. In Internet of things in smart technologies for sustainable urban development (pp. 219–237). Springer. https://doi.org/10.1007/978-3-030-34328-6_14

  4. [4] Gheisari, M., Pham, Q. V., Alazab, M., Zhang, X., Fernandez-Campusano, C., & Srivastava, G. (2019). ECA: An edge computing architecture for privacy-preserving in IoT-Based smart city. IEEE access, 7, 155779–155786. https://doi.org/10.1109/ACCESS.2019.2937177

  5. [5] Liu, Y., Yang, C., Jiang, L., Xie, S., & Zhang, Y. (2019). Intelligent edge computing for IoT-based energy management in smart cities. IEEE network, 33(2), 111–117. https://doi.org/10.1109/MNET.2019.1800254

Article Metrics

How to Cite

Mishra, A. (2024). Edge Computing and IoT-Based Urban Environment Monitoring Solutions. Computational Engineering and Technology Innovations, 1(3), 139-149. https://doi.org/10.48314/ceti.v1i3.34

Similar Articles

1-10 of 55

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