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Enhancing Healthcare Quality through AI-Driven Wireless Sensor Networks for Real-Time Monitoring
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Author(s): Divya Divya (Kalinga University, Raipur, India)and Kamlesh Kumar Yadav (Kalinga University, India)
Copyright: 2026
Pages: 20
Source title:
AI in Health and Human-Centric Systems
Source Author(s)/Editor(s): Ahmed J. Obaid (University of Kufa, Iraq), Muthmainnah (Universitas Al Asyariah Mandar, Indonesia), S. Suman Rajest (Dhaanish Ahmed College of Engineering, India)and Michael Baron (Analytics Institute of Australia, Australia)
DOI: 10.4018/979-8-3373-6796-5.ch006
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Abstract
The trend of WSNs is increasingly becoming integral to all fields, particularly in healthcare, wherein the real-time reliable transmission of data is highly critical. In healthcare, while communicating sensitive health data, Quality of Service for WSNs requires strict QoS to enable prompt, secure, and accurate communication. This paper investigates the development of a robust approach that may improve the quality of service in healthcare applications powered by WSNs. The methodologies applied here are state-of-the-art techniques using AI and optimizing networks, thus ensuring an optimal quality of data from health care information communication even in resource-constrained settings. This study details the major improvements in the key parameters such as latency, bandwidth, and data quality through intensive analysis and simulation based on real cases that have been tested on healthcare scenarios. This research emphasizes WSNs in healthcare, promoting the development of reliable, efficient, and AI-enhanced solutions for the real-time monitoring of healthcare.
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