Storage and Querying of Spatiotemporal Data in Blockchain

A storage structure C-L Matrix based on linked lists and matrices is proposed to address the issue of spatiotemporal data not fully utilizing its temporal and spatial attributes in blockchain, and efficient queries are implemented on this storage structure to meet the needs of fast on chain and large-scale transaction data queries in blockchain applications. It is also seamlessly integrated with the security features of blockchain, such as decentralization, tamper resistance, and traceability. After research analysis and comparison, C-L Matrix has significant advantages over F-L Tree in terms of spatial and temporal complexity; The C-L Matrix also solves cross domain, spatial data distribution, and temporal data chain problems, which can well support the application and management of spatiotemporal data in blockchain.