Spurred by the severe restrictions on mobility due to the COVID-19 pandemic, there is currently intense interest in developing the Metaverse, to offer virtual services/business online. A key enabler of such virtual service is the digital twin, i.e., a digital replication of real-world entities in the Metaverse, e.g., city twin, avatars, etc. The real-world data collected by IoT devices and sensors are key for synchronizing the two worlds. In this paper, we consider the scenario in which a group of IoT devices are employed by the Metaverse platform to collect such data on behalf of virtual service providers (VSPs). Device owners, who are self-interested, dynamically select a VSP to maximize rewards. We adopt hybrid evolutionary dynamics, in which heterogeneous device owner populations can employ different revision protocols to update their strategies. Extensive simulations demonstrate that a hybrid protocol can lead to evolutionary stable states.
@article{arxiv.2111.00431,
title = {A Dynamic Resource Allocation Framework for Synchronizing Metaverse with IoT Service and Data},
author = {Yue Han and Dusit Niyato and Cyril Leung and Chunyan Miao and Dong In Kim},
journal= {arXiv preprint arXiv:2111.00431},
year = {2021}
}