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Article type: Research Article
Authors: Mohammed Mustafa, M.a; * | Kalpana Devi, S.b | Althaf Ali, A.c | Gunavathie, M.A.d
Affiliations: [a] Department of Information Technology, Sri Krishna College of Engineering & Technology, Coimbatore, India | [b] Department of Computer Science and Engineering, RV University, Bengaluru, India | [c] Department of Computer Application, Madanapalle Institute of Technology & Science (MITS), Andhra Pradesh, India | [d] Departmentof Information Technology, Panimalar Engineering College, Chennai, India
Correspondence: [*] Corresponding author. M. Mohammed Mustafa, Department of Information Technology, Sri Krishna College of Engineering & Technology, Coimbatore, India. E-mail: [email protected].
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.
Keywords: Location points, real time scheduling, RATDMA, BSN
DOI: 10.3233/JIFS-234275
Journal: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 4, pp. 9043-9055, 2024
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