Edge Computing and IoT-Based Urban Environment Monitoring Solutions
DOI:
https://doi.org/10.48314/ceti.v1i3.34Keywords:
Edge computing, Internet of things, Urban environmental monitoring, Real-time data processingAbstract
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.
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