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Optimal and Efficient Sensor Design for 5G-Based Internet-of-Body Healthcare Monitoring Network

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Abstract

The Internet of Body (IoB), a subset of wireless sensor networks, has emerged as a promising technology in the biomedical field. The applications of the IoB, particularly in healthcare and medical applications, have attracted significant attention in recent years. The IoB, also known as a Wireless Body Area Network (WBAN), consists of small sensors placed on the human body, which can collect physiological data and facilitate remote operations such as processing, treatment, assessment and decision-making via the Internet network. This paper presents detailed theoretical and experimental studies on the design of sensors for a 5G-based IoB healthcare monitoring network. The need for efficient and high-performance sensors, in the healthcare industry for enabling continuous monitoring of patient’s health in real-time, is highlighted along this work. In this paper, we propose a novel approach for designing and analyzing the performance of IoB antenna sensors, specifically focusing on channel modeling and power-consumption between wearable wireless sensors. The behavior of the sensors on the human body is studied both theoretically and experimentally for two optimal locations: on the human body waist and on human arm-hand. The results are compared to assess the accuracy of the theoretical model. Despite the complexity of the physiological behavior of the human body, our findings show a good agreement between the theoretical and experimental results. This work provides valuable insights into the design and optimization of IoB/WBANs for real-world medical applications.

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Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

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Authors and Affiliations

  1. NOCCS Research Lab, ENISO, University of Sousse, Sousse, Tunisia

    Abdelaziz Hamdi

  2. Prince Research Laboratory, ISITCOM, University of Sousse, Sousse, Tunisia

    Amina Nahali & Rafik Brahem

Authors
  1. Abdelaziz Hamdi
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  2. Amina Nahali
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  3. Rafik Brahem
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Contributions

AH: Conceptualization, Design and Optimization, Validation, Investigation, Writing—original draft, Visualization. AN: Simulation. RB: Resources.

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Correspondence to Abdelaziz Hamdi.

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Hamdi, A., Nahali, A. & Brahem, R. Optimal and Efficient Sensor Design for 5G-Based Internet-of-Body Healthcare Monitoring Network. J Netw Syst Manage 32, 22 (2024). https://doi.org/10.1007/s10922-023-09795-4

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  • DOI: https://doi.org/10.1007/s10922-023-09795-4

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