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Cited 17 time in webofscience Cited 29 time in scopus
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Wearable Computing for Defence Automation: Opportunities and Challenges in 5G Network

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dc.contributor.authorSharma, Pradip Kumar-
dc.contributor.authorPark, Jisun-
dc.contributor.authorPark, Jong Hyuk-
dc.contributor.authorCho, Kyungeun-
dc.date.accessioned2023-04-28T00:41:16Z-
dc.date.available2023-04-28T00:41:16Z-
dc.date.issued2020-
dc.identifier.issn2169-3536-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/7148-
dc.description.abstractRecently, wearable technologies have evolved in the most unexpected field like a military force outside of healthcare, fitness, lifestyle and similar areas. The growing need for soldiers' coordination, training and health, the increase in asymmetric warfare, suspected geopolitical conflicts and soldiers' modernization programs, among others, are some of the factors that fuel the growth of the military wearables market. Wearable computation plays an important role in improving the capabilities of the soldier. Further, the 5G network promises a solution to the many network and performance challenges in order to adopt more sophisticated wearable technologies in defense automation. In this paper, we conduct a study to identify the role of wearable computing for the defence automation system. We present the taxonomy of wearable computing in defence automation system and explain the relationship of each attribute. In addition, we identify the raise issues and challenges in communication and cybersecurity when deploying the 5G network in defense automation. Furthermore, we propose the design of the wearable smartwatch architecture as a use case of healthcare transformation in defense automation in the 5G environment.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleWearable Computing for Defence Automation: Opportunities and Challenges in 5G Network-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/ACCESS.2020.2985313-
dc.identifier.scopusid2-s2.0-85083813456-
dc.identifier.wosid000527415200003-
dc.identifier.bibliographicCitationIEEE ACCESS, v.8, pp 65993 - 66002-
dc.citation.titleIEEE ACCESS-
dc.citation.volume8-
dc.citation.startPage65993-
dc.citation.endPage66002-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordAuthorWearable computers-
dc.subject.keywordAuthorAutomation-
dc.subject.keywordAuthor5G mobile communication-
dc.subject.keywordAuthorBiomedical monitoring-
dc.subject.keywordAuthorMilitary computing-
dc.subject.keywordAuthorTaxonomy-
dc.subject.keywordAuthorSensors-
dc.subject.keywordAuthorWearable computing-
dc.subject.keywordAuthor5G network-
dc.subject.keywordAuthorsecurity and privacy-
dc.subject.keywordAuthoredge computing-
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