An efficient framework for scheduling security-critical tasks in resource-limited mobile edge computing using hybridized gold rush with golden jackal optimization strategy. [PDF]
Vhatkar K +7 more
europepmc +1 more source
Adaptive and intelligent customized deep Q-network for energy-efficient task offloading in mobile edge computing environments. [PDF]
Anand J, Karthikeyan B.
europepmc +1 more source
Fuzzy based priority aware task scheduling optimization for mobile edge computing environments. [PDF]
Lin P.
europepmc +1 more source
End-to-End Mobility Support Framework for SDN Enabled Multiple-Access Edge Computing (MEC)
Multiple-access Edge Computing (MEC) plays a vital role in fifth-generation (5G) cellular networks. MEC ensures reliable and low-latency communication by bringing computational resources and data closer to mobile edge device end- users. It supports the deployment of multi-access edge (ME) applications as executable software running on a virtualization ...
openaire +1 more source
Low-Latency Oriented Joint Data Compression and Resource Allocation in NOMA-MEC Networks: A Deep Reinforcement Learning Approach. [PDF]
Tan F, Zeng Y, Lan C, Zhou Z.
europepmc +1 more source
Decentralized Computation Offloading Strategy via Multi-Agent Deep Reinforcement Learning for Multi-Access Edge Computing Systems. [PDF]
Adu E +5 more
europepmc +1 more source
Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm for Mobile Edge Computing Networks (EHRL). [PDF]
Bayoumi H +3 more
europepmc +1 more source
A Load-Balancing-Aware Learning Framework for Collaborative UAV-MEC Computation Offloading. [PDF]
Li H +7 more
europepmc +1 more source
Evaluating a Mobile Game for Urban Exploration Utilising Mobile Edge Computing (MEC)
Ioannis Doumanis, Kostantinos Tsioutas
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HyAR-PPO: Hybrid Action Representation Learning for Incentive-Driven Task Offloading in Vehicular Edge Computing. [PDF]
Wang W, Li M, Wu H.
europepmc +1 more source

