Research on secure transport strategy of mobile edge computing based on deep reinforcement learning
In mobile edge computing, the process of task unloading will face security problems such as information leakage and eavesdropping. To improve the unloading efficiency of mobile edge computing system, the physical layer security transmission strategy of ...
WANG Yijun +4 more
doaj
Latency and energy-aware adaptive service migration in mobile edge computing. [PDF]
Li L, Lv J, Wang S, Hu C, Sun G, Li N.
europepmc +1 more source
DRL-OS: A Deep Reinforcement Learning-Based Offloading Scheduler in Mobile Edge Computing. [PDF]
Lim D, Lee W, Kim WT, Joe I.
europepmc +1 more source
X‐Functionality–Driven Photocatalytic Hydrogen Evolution in 2D 4‐X‐PEA2SnI4 Perovskites
We report a water‐based synthesis of 2D 4‐X‐PEA2SnI4 perovskite microcrystals with prominent photocatalytic (PC) activity for H2 production. The synergy between organic functionalization and HI‐derived iodide scavenges holes suppress octahedral distortion, and favor electron accumulation, enabling a PC H2 evolution ∼20 µmol·g−1 and long‐term stability ...
Taeyeon Kim +21 more
wiley +1 more source
AI-embedded IoT healthcare optimization with trust-aware mobile edge computing. [PDF]
Alamri M +3 more
europepmc +1 more source
Path Planning and Formation Control for UAV-Enabled Mobile Edge Computing Network. [PDF]
Choutri K +3 more
europepmc +1 more source
InSb, a narrow‐bandgap semiconductor with high carrier mobility, is promising for thermoelectric energy conversion but suffers from high lattice thermal conductivity and strong bipolar conduction. Here, in situ interface engineering using Co2O3 nanoprecursors forms hierarchical CoSbx/In2O3/CoSb3 heterostructures that enhance phonon scattering and ...
Jiwu Xin +10 more
wiley +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
Task Offloading Strategy Based on Mobile Edge Computing in UAV Network. [PDF]
Qi W, Sun H, Yu L, Xiao S, Jiang H.
europepmc +1 more source
Unmanned aerial vehicle (UAV)-enhanced mobile edge computing (U-MEC) integrates flexible deployment and wide coverage, effectively reducing computation latency for edge network devices.
He, H +4 more
core +1 more source

