Joint task offloading and computing resource allocation with DQN for task-dependency in multi-access edge computing
Computer Networks,
Год журнала:
2025,
Номер
unknown, С. 111222 - 111222
Опубликована: Март 1, 2025
Язык: Английский
Latency minimization in IRS-UAV assisted WPT-MEC systems: An ID-AOPDDQN-based trajectory and phase shift optimization approach
Computer Networks,
Год журнала:
2025,
Номер
unknown, С. 111215 - 111215
Опубликована: Март 1, 2025
Язык: Английский
Task Offloading and Multi-cache Placement Based on DRL in UAV-assisted MEC Networks
Vehicular Communications,
Год журнала:
2025,
Номер
unknown, С. 100900 - 100900
Опубликована: Фев. 1, 2025
Язык: Английский
Task offloading strategy of vehicle edge computing based on reinforcement learning
Journal of Network and Computer Applications,
Год журнала:
2025,
Номер
unknown, С. 104195 - 104195
Опубликована: Апрель 1, 2025
Язык: Английский
Beamforming Design and Trajectory Optimization for Integrated Sensing and Communication Supported By Multiple UAVs Based on DRL
Vehicular Communications,
Год журнала:
2025,
Номер
unknown, С. 100932 - 100932
Опубликована: Май 1, 2025
Язык: Английский
Joint task offloading and resource allocation for vehicle edge computing
The Computer Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 14, 2025
Abstract
As
autonomous
driving
and
in-vehicle
applications
develop
rapidly,
vehicles
face
significant
computing
challenges.
In
order
to
address
this
issue,
vehicle
edge
(VEC)
has
emerged.
paper,
we
study
the
issue
of
time
delay
energy
consumption
for
task
offloading
in
VEC
systems.
Considering
varying
resources
changes
position
due
mobility,
integrate
decisions
with
resource
allocation.
The
problem
is
summarized
as
minimizing
completing
tasks.
To
solve
multi-objective
optimization
solution,
propose
an
improved
particle
swarm
algorithm
(IMOPSO).
At
first,
initialize
particles
by
entropy
weight
method
Roulette
Wheel
Selection.
Then,
introduce
transition
probability
control
particles’
exploration
search
space
optimal
solutions.
Extensive
simulation
results
demonstrate
that
IMOPSO
superior
other
alternative
algorithms.
Язык: Английский