A Dynamic Resource Allocation Framework for Synchronizing Metaverse with IoT Service and Data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Han, Y.[Han, Y.] | - |
dc.contributor.author | Niyato, D.[Niyato, D.] | - |
dc.contributor.author | Leung, C.[Leung, C.] | - |
dc.contributor.author | Miao, C.[Miao, C.] | - |
dc.contributor.author | Kim, D.I.[Kim, D.I.] | - |
dc.date.accessioned | 2023-01-06T07:48:03Z | - |
dc.date.available | 2023-01-06T07:48:03Z | - |
dc.date.created | 2023-01-06 | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 1550-3607 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/100941 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | A Dynamic Resource Allocation Framework for Synchronizing Metaverse with IoT Service and Data | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, D.I.[Kim, D.I.] | - |
dc.identifier.doi | 10.1109/ICC45855.2022.9838422 | - |
dc.identifier.scopusid | 2-s2.0-85137260812 | - |
dc.identifier.wosid | 000864709901087 | - |
dc.identifier.bibliographicCitation | IEEE International Conference on Communications, v.2022-May, pp.1196 - 1201 | - |
dc.relation.isPartOf | IEEE International Conference on Communications | - |
dc.citation.title | IEEE International Conference on Communications | - |
dc.citation.volume | 2022-May | - |
dc.citation.startPage | 1196 | - |
dc.citation.endPage | 1201 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordAuthor | evolutionary game | - |
dc.subject.keywordAuthor | hybrid dynamics | - |
dc.subject.keywordAuthor | IoT | - |
dc.subject.keywordAuthor | Metaverse | - |
dc.subject.keywordAuthor | resource allocation | - |
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