MoTiCPS: Energy Optimization on Multi-Objective Task Scheduling in IoT-Integrated Cyber-Physical Systems

Fog computing enhances cyber-physical systems (CPS) by processing data closer to the network edge. However, the performance of fog nodes is critical for maintaining system responsiveness and quality of service (QoS). This paper introduces MoTiCPS, a novel task scheduling and resource allocation method built on the Osprey Optimization Algorithm (OOA). MoTiCPS improves task reliability and balances resource use across edge devices, optimizing fog node performance under real-time constraints. Simulation results show that MoTiCPS increases task success rates by 32% and reduces energy consumption by 39%, significantly outperforming benchmark methods. These improvements highlight MoTiCPS's potential to enhance the efficiency and scalability of CPSs in various application domains.