Research on Blockchain-based Privacy Preservation in Edge Computing focuses on integrating blockchain’s decentralized, tamper-resistant, and transparent features with edge computing systems to enhance data privacy, security, and trust. This area addresses challenges such as distributed edge infrastructures, limited computational and storage resources, heterogeneous devices, and dynamic IoT-generated data streams. Key research directions include blockchain-enabled secure data sharing, decentralized identity and access management, and privacy-preserving smart contracts for edge services. Other emerging topics involve lightweight and scalable blockchain protocols suitable for resource-constrained edge nodes, integration with federated learning for privacy-preserving collaborative analytics, and blockchain-based auditability and traceability mechanisms. Additionally, research on hybrid blockchain–edge architectures, multi-objective optimization for privacy, latency, and energy efficiency, and secure cross-edge or edge–cloud data transactions represents significant avenues for advancing trustworthy, intelligent, and privacy-compliant edge computing systems.