Heterogeneous Dual-Frequency IoT Network for Vital Data Acquisition
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
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Abstract 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 realtime health monitoring for vital signs. The design of IoT broker node enables realtime 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. Moreover, the proposed software of the IoT broker is able to address run-time issues of network nodes in real time without the need to reset the whole network.
M. Salem (B) · I. El-Maddah · H. Mohamed Faculty of Engineering, Ain Shams University, Cairo, Egypt e-mail: [email protected] K. Youssef Faculty of Navigation Science and Space Technology, BSU, Beni-Suef, Egypt A. Elkaseer · S. Scholz Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany A. Elkaseer Faculty of Engineering, Port Said University, 42526 Port Said, Egypt © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 S. G. Scholz et al. (eds.), Sustainable Design and Manufacturing 2020, Smart Innovation, Systems and Technologies 200, https://doi.org/10.1007/978-981-15-8131-1_30
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1 Introduction Nowadays, there is an enormous transfiguration in healthcare systems due to the newly advent technologies such as Internet of things (IoT), bio-sensing, noninvasive sensing, mobile application, cloud computing, etc. [1]. Existing healthcare systems are not structured to serve adequately the growing needs of life expectancy. Thus, the human vital data sensing and visualization still has many challenges that has not been addressed yet. Consequently, there must be an adaptable, customized and usable IoT solution for health care. Vital data acquisition is considered one of the main components in healthcare system which provides care for the elderly, children and patients permanently. In particular, vital data acquisition is defined as the sensing, acquiring and processing of bio-signals in order to interpret these signals into vital information for disease diagnosing [1, 2]. In healthcare solution, after acquiring the vital sign
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