Teegraph: A Blockchain consensus algorithm based on TEE and DAG for data sharing in IoT

Blockchain offers new ways to the data sharing-based collaboration among IoT devices when a centralized IT infrastructure is unavailable. As one of the critical elements in a Blockchain system, the existing consensus algorithms still have some weaknesses, such as energy-wasting, low throughput, high latency, and increased network communication requirements. In this paper, we focus on designing a highly efficient Blockchain consensus algorithm for data sharing among IoT devices. We present the detailed design of Teegraph, which is a Trusted Execution Environment (TEE) and Directed Acyclic Graph (DAG)-based consensus algorithm. A proof-of-concept implementation of Teegraph is presented. The simulation results demonstrate that TEE usage in Teegraph is more efficient than that of the existing state of the art TEE-based consensus algorithms such as MinBFT and MinZyzzyva. Moreover, Teegraph outperforms Hashgraph, one of the most popular DAG-based consensus algorithms in throughput and latency.

Automated summary

This paper proposes a highly efficient Blockchain consensus algorithm, Teegraph, for data sharing among IoT devices. Simulation results demonstrate that Teegraph's TEE usage is more efficient than existing TEE-based consensus algorithms, outperforming Hashgraph in throughput and latency.