Scheduling Optimization Design of IoT Embedded System Based on Improved RMS Algorithm

With the rapid advancement of Internet of Things (IoT) technology, the significance of embedded systems has grown exponentially across various fields. This research focuses on addressing the critical issue of task scheduling optimization in IoT embedded systems by introducing an innovative solution based on the Improved Rate Monotonic Scheduling (RMS) algorithm. This improved algorithm plays a pivotal role in enhancing task efficiency and resource utilization in dynamic IoT environments, where the system's workload and priorities are constantly changing. Through extensive testing and evaluation, our proposed solution has demonstrated its superiority over the traditional RMS algorithm. Specifically, the results reveal a remarkable 25% reduction in task response time, showcasing the substantial improvement in system responsiveness. Additionally, there is a notable 30% increase in CPU utilization, which highlights the enhanced utilization of available computing resources. These outcomes collectively underscore the increased reliability and stability of IoT embedded systems achieved through our research.