Distributed Device-to-Device Offloading System: Design and Performance Optimization
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ko, Haneul | - |
dc.contributor.author | Pack, Sangheon | - |
dc.date.accessioned | 2022-02-17T11:40:55Z | - |
dc.date.available | 2022-02-17T11:40:55Z | - |
dc.date.created | 2022-02-08 | - |
dc.date.issued | 2021-10-01 | - |
dc.identifier.issn | 1536-1233 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/136097 | - |
dc.description.abstract | In task offloading systems, it is imperative to guarantee that an offloaded task is completed within a pre-specified deadline. In this paper, we propose a distributed device-to-device (D2D) offloading system (DDOS) in which a task owner opportunistically broadcasts an offloading request that includes its mobility level and task completion deadline. After receiving the request, mobile devices in the vicinity of the task owner employ a constraint stochastic game to decide, in a distributed manner, whether to accept the request or not. We devise a best response dynamics-based algorithm (BRDA) to obtain a multi-policy constrained Nash equilibrium. Evaluation results demonstrate that DDOS can guarantee a high on-time task completion probability, as well as a low energy consumption. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE COMPUTER SOC | - |
dc.subject | RESOURCE-ALLOCATION | - |
dc.subject | MOBILE | - |
dc.subject | ALGORITHM | - |
dc.title | Distributed Device-to-Device Offloading System: Design and Performance Optimization | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ko, Haneul | - |
dc.contributor.affiliatedAuthor | Pack, Sangheon | - |
dc.identifier.doi | 10.1109/TMC.2020.2994138 | - |
dc.identifier.scopusid | 2-s2.0-85100709933 | - |
dc.identifier.wosid | 000692210400004 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON MOBILE COMPUTING, v.20, no.10, pp.2949 - 2960 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON MOBILE COMPUTING | - |
dc.citation.title | IEEE TRANSACTIONS ON MOBILE COMPUTING | - |
dc.citation.volume | 20 | - |
dc.citation.number | 10 | - |
dc.citation.startPage | 2949 | - |
dc.citation.endPage | 2960 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordPlus | MOBILE | - |
dc.subject.keywordPlus | RESOURCE-ALLOCATION | - |
dc.subject.keywordAuthor | Computer crime | - |
dc.subject.keywordAuthor | Device-to-device (D2D) | - |
dc.subject.keywordAuthor | Device-to-device communication | - |
dc.subject.keywordAuthor | Energy consumption | - |
dc.subject.keywordAuthor | Games | - |
dc.subject.keywordAuthor | Mobile handsets | - |
dc.subject.keywordAuthor | Optimization | - |
dc.subject.keywordAuthor | Task analysis | - |
dc.subject.keywordAuthor | distributed system | - |
dc.subject.keywordAuthor | offloading | - |
dc.subject.keywordAuthor | stochastic game | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.