Scalable Environmental Monitoring System Using Iot And Edge Computing

Abstract

This paper presents a scalable environmental monitoring system utilizing the Internet of Things (IoT) and edge computing. The primary motivation behind this study is the growing need for real-time environmental data processing with a scalable solution. Traditional environmental monitoring systems struggle with issues like data latency, bandwidth limitations, and high infrastructure costs. The proposed system integrates a network of IoT sensors to collect environmental data and leverages edge computing nodes for local data processing and filtering. The system ensures faster data processing, reduces the amount of data sent to the cloud, and improves scalability. Experimental results demonstrate that the proposed system significantly outperforms conventional centralized approaches in terms of scalability, real-time decision-making, and energy efficiency. This approach is suitable for applications in smart cities, industrial monitoring, and large-scale environmental sensing.