QTE-IoT: Q-learning-based task scheduling scheme to enhance energy consumption and QoS in IoT environments

No abstract is available for this paper.

• Publication year

  2025

• Venue

  Sustainable Computing: Informatics and Systems

• Publication date

  2025-11-01

• Fields of study

  Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1016/j.suscom.2025.101247
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Blockchain-Aided Digital Twin Offloading Mechanism in Space-Air-Ground Networks

  2025cited by this paper
• An Intrusion Detection System on The Internet of Things Using Deep Learning and Multi-objective Enhanced Gorilla Troops Optimizer

  2024cited by this paper
• Optimal energy management strategy for electric vehicles and electricity distribution system based on quantile deep learning with enhanced African vulture optimization

  2024cited by this paper
• ETFC: Energy-efficient and deadline-aware task scheduling in fog computing

  2024cited by this paper
• Securing internet of things using machine and deep learning methods: a survey

  2024cited by this paper
• A self-predictive diagnosis system of liver failure based on multilayer neural networks

  2024cited by this paper
• ELA-RCP: An energy-efficient and load balanced algorithm for reliable controller placement in software-defined networks

  2024cited by this paper
• Damping-Assisted Evolutionary Swarm Intelligence for Industrial IoT Task Scheduling in Cloud Computing

  2024cited by this paper
• Task Offloading for IoAV Under Extreme Weather Conditions Using Dynamic Price Driven Double Broad Reinforcement Learning

  2024cited by this paper
• Task scheduling in the internet of things: challenges, solutions, and future trends

  2023cited by this paper
• Task scheduling in edge-fog-cloud architecture: a multi-objective load balancing approach using reinforcement learning algorithm

  2023cited by this paper
• Multi-Objective Grey Wolf Optimizer Algorithm for Task Scheduling in Cloud-Fog Computing

  2023cited by this paper
• The Bedbug Meta-heuristic Algorithm to Solve Optimization Problems

  2023cited by this paper
• Secure Multi-Level Privacy-Protection Scheme for Securing Private Data over 5G-Enabled Hybrid Cloud IoT Networks

  2023cited by this paper
• An Optimal Scheduling Method in IoT-Fog-Cloud Network Using Combination of Aquila Optimizer and African Vultures Optimization

  2023cited by this paper
• The improvement of wavefront cellular learning automata for task scheduling in fog computing

  2023cited by this paper
• Task and resource allocation in the internet of things based on an improved version of the moth-flame optimization algorithm

  2023cited by this paper
• An improved African vultures optimization algorithm using different fitness functions for multi-level thresholding image segmentation

  2023cited by this paper
• Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments

  2023cited by this paper
• An optimal task scheduling method in IoT-Fog-Cloud network using multi-objective moth-flame algorithm

  2023cited by this paper
• Task offloading in Internet of Things based on the improved multi-objective aquila optimizer

  2023cited by this paper
• Security in wireless body area networks via anonymous authentication: Comprehensive literature review, scheme classification, and future challenges

  2023cited by this paper
• Controller placement in SDN using game theory and a discrete hybrid metaheuristic algorithm

  2023cited by this paper
• An Effective analysis on various task scheduling algorithms in Fog computing

  2023cited by this paper
• Data-Driven Sustainability: Leveraging Big Data and Machine Learning to Build a Greener Future

  2023cited by this paper
• Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach

  2022cited by this paper
• Hybrid Meta-heuristic Genetic Algorithm: Differential Evolution Algorithms for Scientific Workflow Scheduling in Heterogeneous Cloud Environment

  2022cited by this paper
• An Efficient Clustering and Deep Learning Based Resource Scheduling for Edge Computing to Integrate Cloud-IoT

  2022cited by this paper
• An Improved African Vulture Optimization for Biding Strategy of Two-Settlement Market in China

  2022cited by this paper
• Region aware dynamic task scheduling and resource virtualization for load balancing in IoT-fog multi-cloud environment

  2022cited by this paper
• Optimisation of energy consumption in cloud video surveillance centre based on monitoring and placement of virtual machines

  2022cited by this paper
• Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems

  2022cited by this paper
• Energy Efficient Virtual Network Embedding in Virtualized Wireless Sensor Networks

  2022cited by this paper
• Multi-Objective Task Scheduling Optimization for Load Balancing in Cloud Computing Environment Using Hybrid Artificial Bee Colony Algorithm With Reinforcement Learning

  2022cited by this paper
• A survey study on trust-based security in Internet of Things: Challenges and issues

  2022cited by this paper
• An Energy Aware Task Scheduling Model Using Ant-Mating Optimization in Fog Computing Environment

  2022cited by this paper
• Improving latency in Internet-of-Things and cloud computing for real-time data transmission: a systematic literature review (SLR)

  2021cited by this paper
• Deep Reinforcement Learning-Based Task Scheduling in IoT Edge Computing

  2021cited by this paper
• A systematic study of load balancing approaches in the fog computing environment

  2021cited by this paper
• Task Scheduling in Cloud Using Deep Reinforcement Learning

  2021cited by this paper
• African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems

  2021cited by this paper
• Using deep belief network to construct the agricultural information system based on Internet of Things

  2021cited by this paper
• Improving Energy Efficiency on SDN Control-Plane Using Multi-Core Controllers

  2021cited by this paper
• Multi-Objective Task Scheduling Approach for Fog Computing

  2021cited by this paper
• Machine Learning into Metaheuristics

  2020cited by this paper
• Resource Constrained Profit Optimization Method for Task Scheduling in Edge Cloud

  2020cited by this paper
• Energy-Aware Task Scheduling on Heterogeneous Computing Systems With Time Constraint

  2020cited by this paper
• Characterizing application scheduling on edge, fog, and cloud computing resources

  2019cited by this paper
• A Novel Bio-Inspired Hybrid Algorithm (NBIHA) for Efficient Resource Management in Fog Computing

  2019cited by this paper
• Energy Efficient Task Assignment in Virtualized Wireless Sensor Networks

  2018cited by this paper
• Live Migration for Multiple Correlated Virtual Machines in Cloud-Based Data Centers

  2018cited by this paper
• A Survey on Resource Scheduling in Cloud Computing: Issues and Challenges

  2016cited by this paper

• Optimizing Task Scheduling in Fog Computing with Deadline Awareness

  2025cites this paper