Task offloading strategies for mobile edge computing: A survey
S Dong, J Tang, K Abbas, R Hou, J Kamruzzaman… - Computer Networks, 2024 - Elsevier
With the wide adoption of 5G technology and the rapid development of 6G technology, a
variety of new applications have emerged. A multitude of compute-intensive and time …
variety of new applications have emerged. A multitude of compute-intensive and time …
Perception task offloading with collaborative computation for autonomous driving
Autonomous driving has so far received numerous attention from academia and industry.
However, the inevitable occlusion is a great menace to safety and reliable driving. Existing …
However, the inevitable occlusion is a great menace to safety and reliable driving. Existing …
A novel Q-learning-based hybrid algorithm for the optimal offloading and scheduling in mobile edge computing environments
Abstract Mobile Edge Computing (MEC) has arisen as a promising computing paradigm
consisting of three tiers: Smart Mobile Devices (SMDs), fog nodes, and the cloud. The MEC …
consisting of three tiers: Smart Mobile Devices (SMDs), fog nodes, and the cloud. The MEC …
Optimizing Task Offloading with Metaheuristic Algorithms Across Cloud, Fog, and Edge Computing Networks: A Comprehensive Survey and State-of-the-Art Schemes
AM Rahmani, A Haider, P Khoshvaght… - … Informatics and Systems, 2025 - Elsevier
Abstract The Internet of Things (IoT) significantly impacts various industries, enabling better
connectivity and real-time data exchange for applications ranging from smart cities to …
connectivity and real-time data exchange for applications ranging from smart cities to …
A novel nature-inspired algorithm for optimal task scheduling in fog-cloud blockchain system
In recent years, the utilization of fog cloud-based Internet of Things (IoT) applications has
been steadily rising due to the exponential growth of data produced by interconnected smart …
been steadily rising due to the exponential growth of data produced by interconnected smart …
A lightweight secure adaptive approach for internet-of-medical-things healthcare applications in edge-cloud-based networks
Mobile-cloud-based healthcare applications are increasingly growing in practice. For
instance, healthcare, transport, and shopping applications are designed on the basis of the …
instance, healthcare, transport, and shopping applications are designed on the basis of the …
Multi-agent deep reinforcement learning-based inference task scheduling and offloading for maximum inference accuracy under time and energy constraints
The journey towards realizing real-time AI-driven IoT applications is facing a significant
hurdle caused by the limited resources of IoT devices. Particularly for battery-powered edge …
hurdle caused by the limited resources of IoT devices. Particularly for battery-powered edge …
Task offloading exploiting grey wolf optimization in collaborative edge computing
The emergence of mobile edge computing (MEC) has brought cloud services to nearby
edge servers facilitating penetration of real-time and resource-consuming applications from …
edge servers facilitating penetration of real-time and resource-consuming applications from …
Proximal Policy Optimization for Efficient D2D-Assisted Computation Offloading and Resource Allocation in Multi-Access Edge Computing
In the advanced 5G and beyond networks, multi-access edge computing (MEC) is
increasingly recognized as a promising technology, offering the dual advantages of …
increasingly recognized as a promising technology, offering the dual advantages of …
Joint Optimization of Compression, Transmission and Computation for Cooperative Perception Aided Intelligent Vehicular Networks
Cooperative perception is a promising paradigm to tackle the perception limitations of a
single intelligent vehicle (IV) to enhance the driving safety and efficiency in intelligent …
single intelligent vehicle (IV) to enhance the driving safety and efficiency in intelligent …