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Heterogeneous Dual-Frequency IoT Network for Vital Data Acquisition

Salem, Mahmoud; El-Maddah, Islam; Youssef, Khaled; Elkaseer, Ahmed 1; Scholz, Steffen ORCID iD icon 1; Mohamed, Hoda
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)


The IoT solutions for health informatics are suffering from restriction of using one frequency which makes the network is unable to communicate via different frequencies. Also, this limitation of using a single frequency fixes a single communication range between nodes without the capability to vary the covering rang. This could consume high power if the system has to transmit data on long distance due to the need to use signal repeater node/s. This paper reports the development of a new heterogeneous design of IoT network via unsymmetrical frequencies in order to sense, process, exchange and visualize two vital signs. The sensing and processing phases are performed via a convenient design of noninvasive vital data acquisition nods. These data acquisition nodes of vital signs are integrated into an embedded system with the IoT nodes in order to provide effective, accurate and real-time health monitoring for vital signs. The design of IoT broker node enables real-time analysis and concatenation of two vital signs. In addition, the broker facilitates the communication between nodes to each other over multi-frequencies in order to cover variant distances and thus to optimize the usage of power. ... mehr

DOI: 10.1007/978-981-15-8131-1_30
Zitationen: 1
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Karlsruhe Nano Micro Facility (KNMF)
Publikationstyp Buchaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISBN: 978-981-15-8130-4
ISSN: 2190-3018
KITopen-ID: 1000123847
HGF-Programm 43.22.03 (POF III, LK 01) Printed Materials and Systems
Erschienen in Sustainable Design and Manufacturing 2020. Ed.: S. Scholz
Verlag Springer Nature
Seiten 333–343
Serie Smart Innovation, Systems and Technologies ; 200
Vorab online veröffentlicht am 11.09.2020
Schlagwörter Internet of things (IoT); Heterogeneous IoT; Bio-sensing; Noninvasive data acquisition; Body temperature (BT)
Nachgewiesen in Dimensions
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