A Dynamic Resource Allocation Framework for Synchronizing Metaverse with IoT Service and Data
- Authors
- Han, Y.[Han, Y.]; Niyato, D.[Niyato, D.]; Leung, C.[Leung, C.]; Miao, C.[Miao, C.]; Kim, D.I.[Kim, D.I.]
- Issue Date
- 2022
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- evolutionary game; hybrid dynamics; IoT; Metaverse; resource allocation
- Citation
- IEEE International Conference on Communications, v.2022-May, pp.1196 - 1201
- Indexed
- SCOPUS
- Journal Title
- IEEE International Conference on Communications
- Volume
- 2022-May
- Start Page
- 1196
- End Page
- 1201
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/100941
- DOI
- 10.1109/ICC45855.2022.9838422
- ISSN
- 1550-3607
- Abstract
- 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. © 2022 IEEE.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Information and Communication Engineering > School of Electronic and Electrical Engineering > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/100941)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.