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Joint Task Offloading and Multi-Task Offloading Based on NOMA Enhanced Internet of Vehicles in Edge Computing
With the rapid development of technology, the Internet of vehicles (IoV) has become increasingly important. However, as the number of vehicles on...
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Efficient computation for task offloading in 6G mobile computing systems
This research focuses on achieving efficient computation for complex tasks within the overlap** coverage of 6G network base stations. A...
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Aphto: a task offloading strategy for autonomous driving under mobile edge
With the increasing complexity of autonomous driving tasks, the computational demands on single vehicular computing units have escalated, more and...
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SRA-E-ABCO: terminal task offloading for cloud-edge-end environments
The rapid development of the Internet technology along with the emergence of intelligent applications has put forward higher requirements for task...
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A task offloading strategy based on sequential waiting model in MEC
In the field of mobile edge computing (MEC) research, many studies under common research scenarios focus on the optimization of energy consumption...
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Blockchain-based 6G task offloading and cooperative computing resource allocation study
In the upcoming era of 6G, the accelerated development of the Internet of Everything and high-speed communication is poised to provide people with an...
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Parking Cooperation-Based Mobile Edge Computing Using Task Offloading Strategy
The surge in computing demands of onboard devices in vehicles has necessitated the adoption of mobile edge computing (MEC) to cater to their...
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A task offloading strategy considering forwarding errors based on cloud–fog collaboration
Fog computing, specialized in handling latency-sensitive and resource-hungry tasks, emerges as a pivotal paradigm for Internet of Things (IoT). Task...
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Multi-objective task offloading optimization in fog computing environment using INSCSA algorithm
The presence of limitations such as processing and energy in many of end devices has resulted in task offloading to other sources. To address these...
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Multi-agent reinforcement learning for vehicular task offloading with multi-step trajectory prediction
With the development of multi-access edge computing (MEC), task offloading has become a promising paradigm to help the resource-constrained vehicles...
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A hierarchical optimization approach for industrial task offloading and resource allocation in edge computing systems
With the continuous expansion of the scale of the industrial Internet, edge computing has become an indispensable part of the industrial Internet. In...
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Optimizing task offloading and resource allocation in edge-cloud networks: a DRL approach
Edge-cloud computing is an emerging approach in which tasks are offloaded from mobile devices to edge or cloud servers. However, Task offloading may...
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DRL-based Task and Computational Offloading for Internet of Vehicles in Decentralized Computing
This paper focuses on the problem of computation offloading in a high-mobility Internet of Vehicles (IoVs) environment. The goal is to address the...
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Binary task offloading strategy for cloud robots using improved game theory in cloud-edge collaboration
In this study, we address the challenge of efficiently processing cloud robot tasks within cloud-edge collaborative systems by designing a...
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Deep Reinforcement Learning and Markov Decision Problem for Task Offloading in Mobile Edge Computing
Mobile Edge Computing (MEC) offers cloud-like capabilities to mobile users, making it an up-and-coming method for advancing the Internet of Things...
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Efficient approaches for task offloading in point-of-interest based vehicular fog computing
Vehicular fog computing (VFC), as the extension of the mobile cloud, has been widely investigated. However, in most existing VFC works, the scenario...
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A Hybrid GRASP-GA based collaborative task offloading technique in fog computing
The transfer of cloud-computing capabilities at the network’s edge reduces the service latency and energy shortage problem in Mobile Fog Computing....
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Task offloading optimization mechanism based on deep neural network in edge-cloud environment
With the rise of edge computing technology and the development of intelligent mobile devices, task offloading in the edge-cloud environment has...
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A real-time stable competitive auction-based task offloading market for heterogeneous mobile cloud (HMC)
In this paper we propose an auction-based offloading market in the HMC (Heterogeneous Mobile Cloud) environment where mobile devices, Cloudlets, and...
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Hybrid Fuzzy Neural Network for Joint Task Offloading in the Internet of Vehicles
The Internet of Vehicles (IoV) technology is progressively maturing because of the growth of private cars and the establishment of intelligent...