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Link-State-Estimation-Based Transmission Power Control in Wireless Body Area Networks

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dc.contributor.authorKim, Seungku-
dc.contributor.authorEom, Doo-Seop-
dc.date.accessioned2021-09-05T07:22:46Z-
dc.date.available2021-09-05T07:22:46Z-
dc.date.created2021-06-15-
dc.date.issued2014-07-
dc.identifier.issn2168-2194-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/98093-
dc.description.abstractThis paper presents a novel transmission power control protocol to extend the lifetime of sensor nodes and to increase the link reliability in wireless body area networks (WBANs). We first experimentally investigate the properties of the link states using the received signal strength indicator (RSSI). We then propose a practical transmission power control protocol based on both short-and long-term link-state estimations. Both the short- and long-term link-state estimations enable the transceiver to adapt the transmission power level and target the RSSI threshold range, respectively, to simultaneously satisfy the requirements of energy efficiency and link reliability. Finally, the performance of the proposed protocol is experimentally evaluated in two experimental scenarios-body posture change and dynamic body motion-and compared with the typical WBAN transmission power control protocols, a real-time reactive scheme, and a dynamic postural position inference mechanism. From the experimental results, it is found that the proposed protocol increases the lifetime of the sensor nodes by a maximum of 9.86% and enhances the link reliability by reducing the packet loss by a maximum of 3.02%.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectSENSOR NETWORKS-
dc.subjectMAC PROTOCOLS-
dc.titleLink-State-Estimation-Based Transmission Power Control in Wireless Body Area Networks-
dc.typeArticle-
dc.contributor.affiliatedAuthorEom, Doo-Seop-
dc.identifier.doi10.1109/JBHI.2013.2282864-
dc.identifier.scopusid2-s2.0-84904162675-
dc.identifier.wosid000340119000021-
dc.identifier.bibliographicCitationIEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, v.18, no.4, pp.1294 - 1302-
dc.relation.isPartOfIEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS-
dc.citation.titleIEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS-
dc.citation.volume18-
dc.citation.number4-
dc.citation.startPage1294-
dc.citation.endPage1302-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaMathematical & Computational Biology-
dc.relation.journalResearchAreaMedical Informatics-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.relation.journalWebOfScienceCategoryMedical Informatics-
dc.subject.keywordPlusSENSOR NETWORKS-
dc.subject.keywordPlusMAC PROTOCOLS-
dc.subject.keywordAuthorHealthcare-
dc.subject.keywordAuthorlink-state estimation-
dc.subject.keywordAuthortransmission power control-
dc.subject.keywordAuthorwireless body area network (WBAN)-
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