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Nurjabova Dilafruz Shukurullayevna is a PhD researcher at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Uzbekistan. Her contribution focuses on Wireless Sensor Networks, smart healthcare, and environmental monitoring.
Wireless Sensor Networks (WSNs) have surfaced as a crucial technology for the acquisition, transmission, and processing of real-time data from physical surroundings. A wireless sensor network comprises decentralised sensor nodes that possess sensing, processing, communication, and power management functionalities. These nodes can jointly observe physiological metrics in medical settings and environmental factors including temperature, humidity, air quality, water quality, and pollution levels. In intelligent healthcare, wireless sensor networks facilitate ongoing patient surveillance, telehealth services, urgent situation identification, and astute clinical decision-making. In environmental surveillance, they provide instantaneous monitoring of ecosystems, climatic factors, agricultural settings, pollutant metrics, and natural threats. This section delineates the framework, communication protocols, sensing methodologies, data-processing strategies, applications, security issues, energy efficiency techniques, and prospective developments of wireless sensor network-based smart healthcare and environmental monitoring systems.
This chapter explores the essential principles, system framework, communication technologies, sensor innovations, data-processing techniques, and real-world applications of IoT-driven smart healthcare. It showcases the amalgamation of edge computing, cloud computing, Artificial Intelligence (AI), and Machine Learning (ML) to facilitate anomaly detection, risk assessment, and individualised monitoring. The discourse encompasses applications in cardiovascular treatment, diabetes oversight, respiratory surveillance, geriatric care, post-surgical recuperation, and chronic illness management. The section also examines interoperability, data integrity, energy efficacy, network dependability, privacy, cybersecurity, patient authorisation, and the integration of healthcare workflows. When incorporated judiciously into healthcare services, IoT-enabled solutions can enhance continuity of care, enable timely identification of alarming changes, and augment access to specific monitoring services.