MQTT Enhanced Medical Task Off-loading in Internet of Vehicles
The paper proposes building an edge computing model for heart rate monitoring using ESP32 modules and the MQTT protocol optimized for the Internet of Vehicles. The system continuously monitors the patient’s heart rate using a pulse sensor. Reduce data transmission and enable faster response times by processing raw sensor data at the edge of the ESP32 device. The system establishes heart rate thresholds to detect potentially dangerous conditions (tachycardia or bradycardia) and sends alerts through the MQTT broker. Processed heartbeat data and critical alerts are sent to a central MQTT broker for monitoring and possible intervention by subscriber applications. This process leverages edge computing to provide a portable, efficient, and potentially life-saving real-time heart rate monitoring system.
Authors
- Prachi Mrudula
- Adwitiya Mukhopadhyay (ORCID: https://orcid.org/0000-0002-3991-0162)
- L S Ashwini
Institutions
- Amrita Vishwa Vidyapeetham (IN)
Publication Details
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1109/iatmsi64286.2025.10984779
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00