Power-Aware Task Scheduling using a MATLAB/Simulink Simulation Process
Keywords:
DVFS, EDF, Energy efficiency, MATLAB Simulink, Power management, Rate monotonic, Real-time systems, Systems, Task schedulingAbstract
Battery life is a concern in modern devices. Many devices, like smartwatches, IoT sensors, medical monitors, and industrial controllers, run on batteries. When the battery runs out, the device stops working. This paper examines how task scheduling affects power consumption. Two scheduling methods, Rate Monotonic (RM) and Earliest Deadline First (EDF), are studied. A method called Power-Aware EDF (PA-EDF) is also proposed. PA-EDF reduces processor speed when slack time is available. RM, EDF, and PA-EDF were tested using MATLAB/Simulink. This gave a picture of the system and measurable energy results. The Simulink model has three tasks. It also has a power model and an energy tracker. The results show that PA-EDF saves a lot of energy compared to EDF and more compared to RM. PA-EDF makes sure every task finishes on time. The proposed approach was evaluated through simulations developed in MATLAB/Simulink using a model that included multiple tasks, a processor power model, and an energy measurement mechanism. The performance of the scheduling methods was analyzed in terms of energy consumption and the ability to meet task deadlines. The results indicate that PA-EDF reduces power usage more effectively than both RM and standard EDF while maintaining reliable task execution without missing deadlines. The main contribution of the work is the integration of power-saving mechanisms into an existing scheduling method to improve battery efficiency in real-time systems.
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