In Wireless Sensor Networks (WSNs), efficient and reliable data transmission is essential for improving network longevity and efficiency. This paper proposes a Cluster Based Fuzzy Decision-Making approach for traffic-free(FDM-FT) data transmission in WSNs. The system employs intelligent clustering to organize nodes into energy-efficient groups and utilizes fuzzy logic to dynamically evaluate factors like remaining energy and proximity to the base station and node congestion level. Based on these inputs, optimal cluster heads and routing paths are selected to minimize traffic congestion and energy consumption. Simulation results demonstrate improved packet delivery ratio, reduced latency, and enhanced network longevity compared to traditional routing protocols.in This model Cluster Based Fuzzy Decision-Making approach for traffic-free(FDM-FT)offers a scalable and adaptive solution for congestion-aware and energy-efficient communication in resource-constrained sensor networks The FDM-FT mechanism aims to reduce data loss, energy loss, and increase throughput. It is primarily focused on avoiding network traffic interruptions and ensuring continuous data flow source from the node (cluster head), to the base station. The performance of this mechanism is evaluated using the Network Simulator (NS2) and demonstrates impressive levels for the indices, indicating its suitability for real-world applications.