Artificial Intelligence - based Smart Wireless Sensor Networks for Smart Healthcare and Patient Monitoring:  Challenges, Technologies, and Emerging Trends

Mirzaei, Mahdi; esmaeilpour, mansur

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Volume 4, Issue 8 (9-2025)

3 2025, 4(8): 83-98

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Artificial Intelligence - based Smart Wireless Sensor Networks for Smart Healthcare and Patient Monitoring: Challenges, Technologies, and Emerging Trends

Mahdi Mirzaei

, Mansur Esmaeilpour

Islamic Azad University

Abstract: (160 Views)

Abstract
The convergence of Artificial Intelligence (AI) and Wireless Sensor Networks (WSNs) is fundamentally transforming the healthcare domain, driving a transition from reactive treatment models to a paradigm of proactive and personalized care. The significance of this trend lies in the ability of these technologies to address global pressures on healthcare systems, including aging populations, the prevalence of chronic diseases, and escalating costs. This paper aims to provide a comprehensive and multidisciplinary analysis of this field by examining its challenges, key technologies, and emerging trends.
   The research methodology is based on a comprehensive analytical review of the current state-of-the-art, through a systematic dissection of challenges at three levels: device, learning, and system. By providing detailed comparative analyses of enabling technologies at each layer of the Internet of Medical Things (IoMT) architecture from wearable sensors and communication protocols like BLE and LoRaWAN to AI algorithms such as CNN-LSTM and Reinforcement Learning—this paper presents a comprehensive roadmap.
   Key findings indicate that the primary engineering challenge in this domain is a trilemma among data richness, device longevity (battery life), and network efficiency. Furthermore, the successful implementation of these systems is contingent upon a triad of trust, security, and personalization, underscoring the necessity for simultaneous advancements in Explainable AI (XAI), privacy preserving solutions like Federated Learning, and the personalization of treatments.
   The novelty of this paper lies in its presentation of a holistic and integrated analytical framework that, instead of examining technologies in isolation, focuses on the symbiotic relationships and mutual tensions between them. This approach provides actionable insights for researchers, clinicians, and policymakers to guide the development of the next generation of intelligent healthcare systems.

Keywords: Wireless Sensor Networks - WSN, Artificial intelligence, Smart Healthcare, Deep Learning, Wearable Sensors, Remote Patient Monitoring .

Full-Text [PDF 585 kb] (55 Downloads)

Type of Study: Applicable | Subject: Special
Received: 2025/07/16 | Accepted: 2025/09/1 | Published: 2025/09/1

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Mirzaei M, esmaeilpour M. Artificial Intelligence - based Smart Wireless Sensor Networks for Smart Healthcare and Patient Monitoring: Challenges, Technologies, and Emerging Trends. 3 2025; 4 (8) :83-98
URL: http://jiis.iauh.ac.ir/article-1-51-en.html

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