As the Internet of Things (IoT) continues to advance, the role of Wireless Sensor Networks (WSNs) has become increasingly critical. The growing deployment of sensors necessitates the development of more efficient and energy-conscious protocols to ensure the optimal performance of smart IoT systems. This paper presents an innovative approach to enhance WSNs within the IoT framework by combining Fuzzy Clustering with a dynamic weight assignment technique. The proposed approach employs the Criteria Importance Through Intercriteria Correlation (CRITIC) method for optimal Cluster Head (CH) selection based on critical parameters and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for optimal multi-hop communication path formation. Experimental results indicate that the proposed method substantially enhances the performance and energy efficiency of IoT-based WSNs, leading to an improvement in network stability (measured by First Node Dies - FND) of up to 131.56% when compared to LEACH. Furthermore, the proposed method shows a 23.21% improvement over traditional FCM, a 25.82% improvement over HSCR LEACH, a 12.78% improvement over Modified HSCR LEACH, and a 21.60% improvement compared to CT-RPL.