This study proposes a Blockchain-Enabled Reputation Model to improve fog computing networks, addressing critical issues like trust, resource management, and network performance in dynamic environments. The model leverages blockchain technology to create a transparent and secure reputation system for fog nodes, optimizing task offloading and resource allocation. Key contributions include the development of a reputation scoring system based on task completion, accuracy, response time, resource availability, peer reviews, and security incidents. The integration of blockchain ensures data integrity and security, while dynamic algorithms enhance network efficiency, reduce latency, and balance loads effectively. Experimental results demonstrate that the proposed model significantly improves network reliability and performance compared to traditional methods, making it a robust solution for decentralized computing environments.