An Intelligent Framework for Wireless Sensor Networks in Environmental Monitoring

In environmental monitoring, wireless sensor networks (WSNs) have become a game-changing technological advancement. Researchers and environmentalists can better understand and safeguard the world through these networks’ capacity to collect real-time data from hostile and isolated locations. The integration of sensors, adaptive data collection, and decision-making processes are the main topics of the study in intelligent framework for WSNs for environmental monitoring. To outline a novel strategy to overcome the difficulties involved in environmental monitoring, highlighting the adaptability and intelligence of the system. With the help of the framework, WSNs will be better able to integrate heterogeneous sensors with ease, modify their data-gathering methods in response to changing environmental circumstances, and use machine-learning tactics to make wise decisions. Utilizing the architecture makes environmental monitoring systems more flexible, adaptive, and able to deliver useful information for environmental preservation and protection. In order to show the usefulness of the technique in situations like forest fire detection, water quality monitoring, and air pollution control, the article also addresses a number of case studies and applications. Finally, it emphasizes the difficulties and prospects for future study and growth in the important field.