A PoL Protocol for Spatiotemporal Blockchain

Yiwenjin Fu, Huahui Chen, Jiangbo Qian, Yihong Dong

Abstract: Spatiotemporal data is the foundation of technologies such as the supply chain industry and autonomous driving. Recent years, the processing of spatiotemporal data has become a hot issue. The current processing method of spatiotemporal data is mainly a single point of centralized storage, which brings certain problems such as data islands. The blockchain is a peer-to-peer distributed ledger, which can ensure that the data is decentralized and not tampered. Using blockchain to process spatiotemporal data can solve important problems in the field of spatiotemporal data processing. A very important part of this process is that the proof-of-location (PoL) is created by consensus. This paper proposes a blockchain protocol for spatiotemporal data. The protocol includes the creation of PoL, consensus and block sequencing. We propose a PoL generation algorithm to generate PoL and create transactions. Further, a consensus algorithm for PoL is proposed to verify PoL and transaction and create blocks. We used a parallel DAG architecture to generate the topology of the blockchain for storing blocks. Finally, we conducted a threatening analysis of the proposed protocol. We simulated a supply chain case to evaluate the throughput, scalability, and fault tolerance of the protocol.