Cross-Layer design for IoT dedicated Healthcare

Résumé

Wireless Body Area Networks (WBANs) are wireless sensor networks that consist ofsmall, low-power wearable or implantable devices placed on or inside the human bodyto monitor physiological signals such as heart rate, blood pressure, and body temperature. WBANs have emerged as a potentially transformative technology in healthcare,enabling the continuous monitoring of patient health, remote diagnosis and treatment,and personalized healthcare services. WBANs in IoT healthcare offer several advantages,including noninvasive monitoring, real-time data transmission, and integration with otherIoT devices for data analytics and machine learning. However, designing WBANs forIoT healthcare systems presents challenges such as ensuring reliable and energy-efficientdata transmission. A cross-layer design is an approach that has been proposed to addressthese challenges by enabling the cooperation of different layers of the network protocolstack to optimize network performance.This dissertation aimed to enhance IoT healthcare by implementing and developing anew PHY/MAC protocol within the IEEE 802.11ah framework. This protocol aims to improve the network efficiency, extend the sensor life, and ensure the quality and reliability of data transmission. It adapts to varying data types by modifying the superframe structure based on the adaptive modulation features of IEEE 802.11ah. This study explores the intricacies and potential of cross-layer design in IoT healthcare, offering innovative solutions to boost system performance and efficiency. By conducting simulations and experiments, this study will assess the effectiveness of this approach by comparing it to existing methods. Ultimately, it seeks to provide actionable strategies for developing IoT healthcare systems that fulfil the demands of reliability, energy conservation, and scalability in diverse healthcare scenarios.

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