Environmental Monitoring Using IoT-Based Wireless Sensor Networks: A Case Study

Abstract

The use of IoT-based wireless sensor networks (WSNs) has significantly transformed how environmental monitoring is conducted, enabling real-time data collection and analysis in various natural settings. This article presents a detailed case study where IoT-enabled WSNs were employed to monitor environmental parameters such as air quality, soil moisture, and water quality. We discuss the planning and execution of the sensor network, highlighting the challenges faced and the solutions devised during deployment. Methods for gathering data and analyzing it are examined, illustrating how IoT enhances the precision and efficiency of monitoring. Findings from the field study demonstrate practical applications and insights gained through continuous monitoring of environmental data. Finally, the article concludes with a discussion on the implications of IoT-based WSNs in environmental monitoring, and outlines future research directions to further advance this technology's impact. This study contributes to the growing knowledge base on IoT applications in environmental science, emphasizing the potential for IoT-based solutions to address environmental challenges and promote sustainability efforts globally.