Aging is characterized by a progressive decline in functional capacity resulting from biological and environmental factors, and is shaped by genetics, lifestyle, chronic diseases, and socioeconomic conditions. As individuals grow older, decreases in musculoskeletal strength, cognitive performance, and overall physical activity become more evident, posing significant challenges for elderly individuals living in rural regions with limited access to continuous healthcare. The increasing share of older adults in the global population underscores the need for innovative technological solutions that can enhance quality of life. Advances in the Internet of Things (IoT) have enabled remote health monitoring systems capable of collecting and processing patient data through sensor-integrated devices. Among communication protocols such as Wi-Fi, Bluetooth, and ZigBee, LoRa and LoRaWAN stand out for their low power consumption and long-range communication capabilities. LoRa employs CSS modulation to securely transmit data over several kilometers, while LoRaWAN operates through a star topology using frequency bands such as 433 MHz, 868 MHz, and 915 MHz. As the volume of health data increases, secure storage and advanced analytics have become essential, with cloud platforms such as Microsoft Azure, AWS, and Google Cloud providing scalable infrastructures; Azure is particularly notable for its integrated AI tools and compliance with HIPAA, GDPR, and ISO 27001 standards. Ensuring data privacy in LoRa-based healthcare applications is critical, and LoRaWAN addresses this through multi-layer AES-128 encryption for network, application, and device authentication, supported by additional algorithms such as RSA, ECC, SHA-256, and Vigenère. However, the high cost of LoRaWAN gateways and the energy demands of conventional encryption methods limit adoption in rural areas. To overcome these constraints, this study introduces HealthGuard, a LoRa-enabled, gateway-independent, and high-security health monitoring platform designed for elderly individuals in rural settings. The system employs a cost-effective P2MP communication architecture and transmits pulse and body-temperature data to Microsoft Azure IoT Hub. Data security is ensured through the IGATA, a lightweight dynamic key-generation method optimized for low-power devices. Field tests demonstrated reliable communication up to 5 km, medical-grade measurement accuracy (Temperature MAE ±0.4°C; Pulse correlation 96%), and low latency (1.1 s). Overall, HealthGuard provides an energy-efficient, low-cost, and privacy-preserving solution that enables continuous remote monitoring and supports improved quality of life for older adults.
Pamuk et al. (Fri,) studied this question.