Determination of the time location points and investigation of the body sensor network using RATDMA and PATDMA.
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| Title: | Determination of the time location points and investigation of the body sensor network using RATDMA and PATDMA. |
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| Authors: | Mohammed Mustafa, M.1 (AUTHOR) mohammedmustafa@skcet.ac.in, Kalpana Devi, S.2 (AUTHOR), Althaf Ali, A.3 (AUTHOR), Gunavathie, M.A.4 (AUTHOR) |
| Source: | Journal of Intelligent & Fuzzy Systems. 2024, Vol. 46 Issue 4, p9043-9055. 13p. |
| Subjects: | Body sensor networks, Wireless sensor networks, Body area networks, Sensor placement, Network performance, Environmental monitoring |
| Abstract: | Wireless body sensor networks have gained significant importance across diverse fields, including environmental monitoring, healthcare, and sports. This research is concentrated on sports applications, specifically exploring the viability of a wireless body area network tailored for high-performing athletes. The paper is divided into three sections. First, the design of the node location that is used for real-time monitoring of a sportsperson in which the node position, such as the human thigh, foot, arm, wrist, and chest, was estimated and the best position was selected. Second, the accuracy of an application when related to the other schemes such as TDMA with ZigBee and RA-TDMA & PA-TDMA was done. The reliability using RA-TDMA performed well and showed approximately 98% reliability. Finally, the features of wireless communiqués that affect the presentation of the network for RA-TDMA were estimated, such as delay and jitter. These findings collectively contribute to advancing the understanding of optimizing wireless body sensor networks for sports applications, with notable achievements including the identification of the arm as the optimal sensor placement, achieving a 98% success rate, and surpassing alternative techniques in network performance parameters like packet delivery rate. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Intelligent & Fuzzy Systems is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 176907333 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Determination of the time location points and investigation of the body sensor network using RATDMA and PATDMA. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mohammed+Mustafa%2C+M%2E%22">Mohammed Mustafa, M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mohammedmustafa@skcet.ac.in</i><br /><searchLink fieldCode="AR" term="%22Kalpana+Devi%2C+S%2E%22">Kalpana Devi, S.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Althaf+Ali%2C+A%2E%22">Althaf Ali, A.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gunavathie%2C+M%2EA%2E%22">Gunavathie, M.A.</searchLink><relatesTo>4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+%26+Fuzzy+Systems%22">Journal of Intelligent & Fuzzy Systems</searchLink>. 2024, Vol. 46 Issue 4, p9043-9055. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Body+sensor+networks%22">Body sensor networks</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+sensor+networks%22">Wireless sensor networks</searchLink><br /><searchLink fieldCode="DE" term="%22Body+area+networks%22">Body area networks</searchLink><br /><searchLink fieldCode="DE" term="%22Sensor+placement%22">Sensor placement</searchLink><br /><searchLink fieldCode="DE" term="%22Network+performance%22">Network performance</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+monitoring%22">Environmental monitoring</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Wireless body sensor networks have gained significant importance across diverse fields, including environmental monitoring, healthcare, and sports. This research is concentrated on sports applications, specifically exploring the viability of a wireless body area network tailored for high-performing athletes. The paper is divided into three sections. First, the design of the node location that is used for real-time monitoring of a sportsperson in which the node position, such as the human thigh, foot, arm, wrist, and chest, was estimated and the best position was selected. Second, the accuracy of an application when related to the other schemes such as TDMA with ZigBee and RA-TDMA & PA-TDMA was done. The reliability using RA-TDMA performed well and showed approximately 98% reliability. Finally, the features of wireless communiqués that affect the presentation of the network for RA-TDMA were estimated, such as delay and jitter. These findings collectively contribute to advancing the understanding of optimizing wireless body sensor networks for sports applications, with notable achievements including the identification of the arm as the optimal sensor placement, achieving a 98% success rate, and surpassing alternative techniques in network performance parameters like packet delivery rate. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Intelligent & Fuzzy Systems is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=176907333 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/JIFS-234275 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 9043 Subjects: – SubjectFull: Body sensor networks Type: general – SubjectFull: Wireless sensor networks Type: general – SubjectFull: Body area networks Type: general – SubjectFull: Sensor placement Type: general – SubjectFull: Network performance Type: general – SubjectFull: Environmental monitoring Type: general Titles: – TitleFull: Determination of the time location points and investigation of the body sensor network using RATDMA and PATDMA. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mohammed Mustafa, M. – PersonEntity: Name: NameFull: Kalpana Devi, S. – PersonEntity: Name: NameFull: Althaf Ali, A. – PersonEntity: Name: NameFull: Gunavathie, M.A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 10641246 Numbering: – Type: volume Value: 46 – Type: issue Value: 4 Titles: – TitleFull: Journal of Intelligent & Fuzzy Systems Type: main |
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