A hybrid priority-aware genetic algorithm and opposition-based learning for scheduling IoT tasks in green fog computing

• Published in: Computer networks (Amsterdam, Netherlands : 1999) Vol. 267; p. 111349
• Main Authors: Salimi, Rezvan, Azizi, Sadoon, Dogani, Javad
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2025
• Subjects: Cost; Energy; Genetic Algorithm (GA); Green fog computing; Internet of Things (IoT); Opposition-based learning (OBL); Task scheduling; Internet of Things (IoT); Energy; Green fog computing; Task scheduling; Opposition-based learning (OBL); Genetic Algorithm (GA); Cost

With the rapid growth of Internet of Things (IoT) devices, efficient task scheduling in fog computing systems has become crucial to ensure optimal resource utilization. In addition, the increasing demand for eco-friendly solutions has led to the emergence of green fog computing, which aims to levera...