Performance Analysis for Internet of Health-Care Things in Multiqueueing Fog System

In this paper, we study the performance of healthcare applications in multi-queueing fog systems. The increase in Internet of Healthcare Things (IoTH) devices evolves a tradeoff between the cost of the device and the expected response time. These devices are low-powered with limited battery lifetime; they may not execute computation-intensive tasks at their end. However, some applications, such as patient monitoring and oxygen variability during an emergency, are delay-intensive; they must immediately start. To address these challenges, we propose a multi-queueing fog node environment that balances the load based on the severity of the applications. Further, the system's efficacy is compared with the weighted fair and non-weighted queueing approaches. The performance of the proposed model is evaluated based on latency, packet loss, reliability, and scalability parameters. The results demonstrate that the proposed model performs better than the baseline approaches. The findings of this study help the researchers to design efficient and reliable systems for IoTH applications and services.