Performance Analysis of Delay and Size-Dependent Scheduling for IoT-based Healthcare Traffic Using Heterogeneous Multi-Server Priority Queueing System

Abstract

Time is very crucial in Internet of Things (IoT)-based healthcare applications and any delay can lead to dangerous scenarios, including patient deaths. The Earliest Deadline First (EDF) scheduling mechanism has been recommended for use in IoT-based applications in healthcare systems. However, the EDF performs poorly under overloaded conditions since priority is given to high-priority packets with close deadlines. In order to overcome the limitation of EDF, models for the prioritized scheduling (PS) scheme was proposed. The PS scheme is an improvement of the EDF scheme for IoT-based healthcare applications. The PS scheme uses a heterogeneous multi-server priority queuing system to provide service differentiation by prioritizing short packets over large packets and delay sensitive packets are serviced before delay tolerant packets. In this paper, the analytical models of the PS scheduling scheme are validated using the Simulink MATLAB R2023b tool. The performance measures are obtained for the mean slowdown for delay sensitive and delay tolerant packets as a function of the sizes of packets. In addition, the performance measures in terms of throughput as a function of packet sizes for short and large delay sensitive packets are obtained. We compare the results obtained from simulations with the analytical results for mean slowdown and throughput. Simulation results.