The integration of the Internet of Things (IoT) with Wireless Sensor Networks (WSNs) is a pivotal research area aimed at enabling large-scale, real-time monitoring and intelligent decision-making across diverse applications such as environmental monitoring, smart cities, healthcare, industrial automation, and agriculture. Research papers in this domain focus on the design of energy-efficient protocols, data aggregation and fusion techniques, routing strategies, and QoS-aware communication to address the resource constraints and dynamic topology of WSNs. Key contributions include security and privacy mechanisms, edge/fog-assisted processing, AI-driven analytics, and context-aware sensing for improved accuracy and responsiveness. Recent studies also explore interoperability between heterogeneous IoT devices, fault tolerance, and integration with next-generation wireless technologies to enhance network reliability and scalability. By addressing challenges such as limited energy, bandwidth, and computation resources, IoT-WSN research is driving the development of intelligent, resilient, and adaptive sensing infrastructures.