Abstract
Different wireless sensing methods have been proposed for acquisition and measurement of body signals. In medical healthcare, it is critical that data are received simultaneously, processed, and analyzed in order to diagnose the disease accurately. For instance, to detect a patient with sleep apnea, it is necessary for the biosignals from dozens of biosensors including electroencephalography (EEG), electrocardiogram (ECG), photoplethysmogram (PPG), and peripheral oxygen saturation (Sp\(O_2\)) to be received in sequence it is used for diagnosis. However, it is difficult to accurately received these signals as their measurement frequencies are different from each other. Precise synchronization of the heartbeat with other measuring cycles of each biosensor is a critical attribute for identifying the correlation of each biosignal. Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) used in existing body area networks to guarantee the precise synchronization of multi-biosignals. This paper addressed this issue by proposing a bio-inspired Dynamic Time Division Scheduling Protocol (D-TDSP) based on the Frog Calling Algorithm (FCA) to adjust the timing of data transmission and to guarantee the synchronization of the sensing and receiving of multi-biosignals. The accuracy of the proposed algorithm is compared with the CSMA/CA method using a TelosB and XM1000 sensor nodes.
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Muhammad, N., Lim, T.H. (2021). Dynamic Time Division Scheduling Protocol for Medical Application Using Frog Synchronization Algorithm. In: Goleva, R., Garcia, N.R.d.C., Pires, I.M. (eds) IoT Technologies for HealthCare. HealthyIoT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 360. Springer, Cham. https://doi.org/10.1007/978-3-030-69963-5_11
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DOI: https://doi.org/10.1007/978-3-030-69963-5_11
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