A Novel Resolution and Power Control Scheme for Energy-Efficient Mobile Augmented Reality Applications in Mobile Edge Computing
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ahn J. | - |
dc.contributor.author | Lee J. | - |
dc.contributor.author | Yoon S. | - |
dc.contributor.author | Choi J.K. | - |
dc.date.available | 2020-07-06T02:35:46Z | - |
dc.date.created | 2020-06-25 | - |
dc.date.issued | 2020-06 | - |
dc.identifier.issn | 2162-2337 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/61764 | - |
dc.description.abstract | This letter proposes a novel resolution and power control scheme for energy-efficient mobile augmented reality (MAR) services through computation offloading to mobile edge computing (MEC). For this purpose, analytical models for the energy consumption of a MAR device (MD), detection accuracy of MAR objects, and service latency are rigorously formulated. Considering their tradeoff in MAR with MEC, a theoretical framework for the computation offloading problem of the MD that jointly optimizes the transmission power and frame resolution is designed. The proposed scheme significantly reduces energy consumption by 73.64% with an accuracy loss of 1.6% while guaranteeing the required latency constraint. © 2012 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.relation.isPartOf | IEEE Wireless Communications Letters | - |
dc.title | A Novel Resolution and Power Control Scheme for Energy-Efficient Mobile Augmented Reality Applications in Mobile Edge Computing | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000541148800001 | - |
dc.identifier.doi | 10.1109/LWC.2019.2950250 | - |
dc.identifier.bibliographicCitation | IEEE Wireless Communications Letters, v.9, no.6, pp.750 - 754 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85086626616 | - |
dc.citation.endPage | 754 | - |
dc.citation.startPage | 750 | - |
dc.citation.title | IEEE Wireless Communications Letters | - |
dc.citation.volume | 9 | - |
dc.citation.number | 6 | - |
dc.contributor.affiliatedAuthor | Lee J. | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Augmented reality | - |
dc.subject.keywordAuthor | energy efficiency | - |
dc.subject.keywordAuthor | mobile edge computing | - |
dc.subject.keywordAuthor | object detection | - |
dc.subject.keywordAuthor | optimization | - |
dc.subject.keywordPlus | Augmented reality | - |
dc.subject.keywordPlus | Edge computing | - |
dc.subject.keywordPlus | Energy efficiency | - |
dc.subject.keywordPlus | Energy utilization | - |
dc.subject.keywordPlus | Object detection | - |
dc.subject.keywordPlus | Computation offloading | - |
dc.subject.keywordPlus | Detection accuracy | - |
dc.subject.keywordPlus | Energy efficient | - |
dc.subject.keywordPlus | Latency constraints | - |
dc.subject.keywordPlus | Mobile augmented reality | - |
dc.subject.keywordPlus | Power control schemes | - |
dc.subject.keywordPlus | Theoretical framework | - |
dc.subject.keywordPlus | Transmission power | - |
dc.subject.keywordPlus | Power control | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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