Semantic-Aware Blockchain Architecture Design for Edge-enabled Metaverse

The evolution of the Metaverse places higher demands on task transmission and computation to provide users with enhanced quality services. In this paper, we are first to address the timely task allocation and processing for heterogeneous services described using semantics in the Metaverse. We consider a mobile edge computing network composed of Unmanned Aerial Vehicles (UAVs) and adopt blockchain technology to support secure task allocation. The task allocation problem is formulated using semantic matching and penalty mechanisms and solved by Particle Swarm optimization (PSO) and Learning-based algorithms. We have analyzed the impact of the penalty mechanism on system rewards, task server matching rates, and the success rate of task service. Our results show significant improvements of our architecture and algorithms compared to existing approaches.