A Symmetric TDMA Mechanism to Optimize the Performance of the Body Sensor Network for Sports Application

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dc.contributor.authorMustafa, M.M.
dc.contributor.authorKhalifa, A.A.
dc.contributor.authorCengiz, K.
dc.date.accessioned2024-05-19T14:33:26Z
dc.date.available2024-05-19T14:33:26Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2023 -- 8 June 2023 through 10 June 2023 -- -- 190025en_US
dc.description.abstractThe body sensor network plays a vital role in the analysis of the gait analysis of human, sensing the various events happening in the human body. The communication that takes place between the sensed device and the processing system is very important in which the nodes worn on the human body communicate with the sink node placed in the center of the human body. A wireless communication mechanism TDMA was used and the results gave around 60 percent reliability among the nodes. The dynamic TDMA gave a reliability of 90 percent and retransmission mechanism of 95 percent. Our research work focused on to improve the reliability between the nodes and to develop an application for the users to retrieve the data from the sink node. A Symmetric TDMA algorithm was used in which the reliability was increased up to 2 percent resulted in 97 percent. Also, a Bayesian model was developed to identify the probability of nodes initiating to transmit at the same time. The model proved that the chances of nodes transmitting at the same time are 8 percent when comparing to all other techniques. The reliability of the network was also increased. Further, the work will be developed to bring the security concepts into the transmission of data packets, so that the loss can be minimized. © 2023 IEEE.en_US
dc.identifier.doi10.1109/HORA58378.2023.10156665
dc.identifier.isbn9798350337525
dc.identifier.scopus2-s2.0-85165698331en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/HORA58378.2023.10156665
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4230
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofHORA 2023 - 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectBayesianen_US
dc.subjectBsnen_US
dc.subjectSymmetric Tdmaen_US
dc.subjectWbanen_US
dc.titleA Symmetric TDMA Mechanism to Optimize the Performance of the Body Sensor Network for Sports Applicationen_US
dc.typeConference Objecten_US

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