IOT Enabled Healthcare Monitoring System Utilizing MQTT Protocol
Keywords:
DHT11, Alert, MEMS Sensor, GPS, IOTAbstract
IOT ENABLED HEALTHCARE MONITORING SYSTEM UTILIZING MQTT PROTOCOL utilizing the MQTT protocol offers a cost-effective and efficient solution for real-time health tracking. By integrating multiple sensors, including a heartbeat sensor, respiratory sensor, pulse oximeter, MEMS sensor, and the DHT11 temperature and humidity sensor, the system continuously monitors vital health parameters. The combination of NODE MCU and Arduino Mega ensures seamless data processing and transmission while leveraging the lightweight MQTT protocol for reliable, low-latency communication. This architecture minimizes power consumption and bandwidth usage, making it well-suited for continuous health monitoring applications. To further enhance its capabilities, the system incorporates GPS for real-time location tracking and GSM for remote communication, allowing healthcare providers to access patient data from anywhere. An LCD display provides local monitoring, enabling immediate access to critical information. This comprehensive setup ensures that healthcare professionals can respond promptly to emergencies while offering continuous monitoring, particularly in remote or critical care environments. By bridging the gap between patients and medical experts, this system significantly improves healthcare accessibility, efficiency, and response time, making it a valuable innovation in modern telemedicine and IoT-driven healthcare solutions.
Downloads
References
Ullah Kaleem, Ali Munam, “Smart Healthcare and Medical Applications Using the Internet of Things Effectively,” International Conference on Identification, Knowledge, and Information in IoT, 2015, 978-1-4673-8753-8/16/$31.00 ©2016 IEEE.
Gupta Punit1, Agrawal Deepika2, Chhabra Jasmeet3, Dhir Pulkit Kumar4 – “Smart Healthcare Kit Using IoT,” Jaypee University of Information Technology, Himachal Pradesh, India, ©2016 IEEE.
Prosanta Gope and Tzonelih Hwang, “BSN-Care: A Secure IoT-Based Modern Healthcare System Using Body Sensor Network” IEEE Sensors Journal, Vol. 16, no. 5, March 1, 2016,IEEE 1558-1748 © 2015 IEEE.
Ingole A., Ambatkar S., and Kakde S., “Design and Development of a Healthcare Monitoring System Utilizing Raspberry Pi,” This peer-reviewed paper was accepted for presentation at the IEEE ICCSP 2015 Conference, 978-1-4799-8081-9/15/$31.00 © 2015 IEEE.
Ibhaze A. E., Idachaba F. E., “Smart Healthcare Monitoring System for Elderly Patients,” IEEE International Conference on Emerging Technologies and Innovative Business Practices for Societal Transformation (EmergiTech) 2016, 978-1-5090-0706-6/16/$31.00 © 2016 IEEE.
Abdullah A., Ismael A., Rashid A., Abou-ElNour A., and Mohammed M., “Wireless Real-Time Health Monitoring Application Utilizing Mobile Technology,” International Journal of Computer Networks & Communications (IJCNC), Vol. 7, Issue 3, May 2015, DOI: 10.5121/ijcnc.2015.7302.
Khoi N. M., and Saguna S., “IReHMo: A Smart IoT-Enabled Remote Health Monitoring System for Efficient Healthcare in Smart Regions,” 17th International Conference on E-Health Networking, Applications & Services (HealthCom) 2015, 978-1-4673-8325-7/15/$31.00 © 2015 IEEE.
Yi W-J., Sarkar O., Gonnot T., Monsef E., and Saniie J., “Fall Detection and Health Monitoring System Utilizing 6LoWPAN with Android Smartphone Integration,” 978-1-4673-9985-2/16/$31.00 © 2016 IEEE.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Scientific Research in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
