Abstract
Wireless Body Sensor networks or WBSN are one of the technologies that have a great impact on human development. This technology is part of the IoT family, which today represents a major part of our daily lives. WBSNs have improved the medical field in such a way that each patient is monitored via a group of lightweight sensors. On the one hand, they allow the collection of data from the human body. On the other hand, they transmit them via the network with a specific transmission method, thus analyzing them in order to make decisions.
In this paper, a patient health monitoring and management system has been proposed with multiple master nodes based on cluster-tree topology, to avoid data retransmission and collision domains. First, a complete study with the architectural design is started in the first part. Second, an architecture implementation was performed in the human body to demonstrate the effectiveness of the solution. Finally, the result and the visualization of the data will be started in this step, which summarizes our work.
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Moutaib, M., Ahajjam, T., Fattah, M., Farhaoui, Y., Aghoutane, B., El Bekkali, M. (2023). Health Surveillance and Management System Using WBSNs. In: Farhaoui, Y., Rocha, A., Brahmia, Z., Bhushab, B. (eds) Artificial Intelligence and Smart Environment. ICAISE 2022. Lecture Notes in Networks and Systems, vol 635. Springer, Cham. https://doi.org/10.1007/978-3-031-26254-8_70
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DOI: https://doi.org/10.1007/978-3-031-26254-8_70
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