Heterogeneous Data Prioritization in MAC RPL for Real-Time Health Monitoring and Personalized User Experiences in Wearable IoT Devices Integrating Mobility Models
Animesh Giri, Aditya Poddar, Shruti Singh · 2023
Wearable sensor technology is the new and upcoming revolution in next-generation IoT solutions that will enable efficient and more reliable healthcare monitoring. The primary goal of wearable sensor technology is to collect and instantly transmit a patient's health-related data. For real-time health monitoring of critical patients, data of varying sizes must be transferred quickly, effectively, and in a prioritized manner. In this paper, we focus on prioritizing the data captured by various wearable devices, equipped by the patients. The data captured and generated in such cases will be heterogeneous in nature and transmitted at different rates. The prioritization is done on the MAC layer by varying the back-off time experienced by data of various priorities. We have given higher priority data lesser backoff time intervals compared to lower priority data, thus transferring it faster and reducing its latency. As wearable sensors have power, memory, and other resource constraints, Routing protocol for low power and lossy Network (RPL) is the best-suited routing protocol for such networks. The introduction of Mobility in this research incorporates the real-time movements of patients wearing the sensors, which simulates a more realistic scenario for this study.