Wireless Sensor Networks (WSNs) have emerged as pivotal tools for Internet of Things (IoT)-driven environmental monitoring, enabling real-time data acquisition and analysis across diverse ecological settings. These networks consist of numerous distributed sensor nodes equipped with sensing, processing, and wireless communication capabilities, enabling pervasive, scalable monitoring. This paper discusses the innovative applications of WSNs in environmental monitoring, emphasizing their role in enhancing data collection and risk management. Key advancements include deploying acoustic sensor networks for urban noise assessment, remote sensing techniques for plant health monitoring, and cost-effective wind data acquisition systems for studying coastal environments. Furthermore, recent methodologies for sensor deployment are explored, highlighting algorithms that optimize coverage and connectivity while. Addressing challenges posed by network dynamics and environmental constraints. IoT integration continues to evolve, and WSNs present significant opportunities for sustainable environmental management, enabling more effective responses to ecological changes and threats. This work synthesizes recent research contributions and highlights the importance of WSNs in shaping the future of environmental monitoring through an IoT framework.