Automatika,
Год журнала:
2024,
Номер
65(3), С. 973 - 982
Опубликована: Март 12, 2024
Large
amounts
of
processing
resources
are
required
for
the
sensed
raw
big
data
during
generation
process.
Furthermore,
as
typically
privacy
sensitive,
blockchain
technology
can
be
used
to
ensure
concerns.
This
study
examines
a
multiuser
mobile
offloading
network
that
consists
cloud
server
located
remotely
and
an
edge
node.
We
formulate
problem
joint
optimization
task
decision
making
all
users,
computation
resource
allocation
among
executing
applications,
radio
assignment
remote-processing
applications.
The
goal
is
minimize
maximum
weighted
cost
users.
When
compared
other
benchmark
approaches,
simulation
results
show
proposed
algorithm
achieves
optimal
in
terms
both
energy
consumption
delay
result
collaboration.
Finally
strategy
with
93%
efficiency
obtained.
Electronics,
Год журнала:
2022,
Номер
12(1), С. 1 - 1
Опубликована: Дек. 20, 2022
At
the
edge
of
network
close
to
source
data,
computing
deploys
computing,
storage
and
other
capabilities
provide
intelligent
services
in
proximity
offers
low
bandwidth
consumption,
latency
high
security.
It
satisfies
requirements
transmission
bandwidth,
real-time
security
for
Internet
Things
(IoT)
application
scenarios.
Based
on
IoT
architecture,
an
(EC-IoT)
reference
architecture
is
proposed,
which
contained
three
layers:
The
end
edge,
cloud
edge.
Furthermore,
key
technologies
artificial
intelligence
(AI)
technology
EC-IoT
analyzed.
Platforms
different
locations
are
classified
by
comparing
platforms.
On
basis
industrial
(IIoT)
solution,
Vehicles
(IoV)
a
gateway-based
smart
home
proposed.
Finally,
trends
challenges
examined,
will
have
very
promising
applications.
IEEE Access,
Год журнала:
2022,
Номер
10, С. 84579 - 84621
Опубликована: Янв. 1, 2022
Internet
of
Things
(IoT)
services
have
grown
substantially
in
recent
years.
Consequently,
IoT
service
providers
(SPs)
are
emerging
the
market
and
competing
to
offer
their
services.
Many
applications
utilize
these
an
integrated
manner
with
different
Quality-of-Service
(QoS)
requirements.
Thus,
provisioning
end-to-end
QoS
is
getting
more
indispensable
for
platforms.
However,
system
by
using
only
metrics
without
considering
user
experiences
not
sufficient.
Recently,
Quality
Experience
(QoE)
model
has
become
a
promising
approach
quantify
actual
A
holistic
design
that
considers
constraints
various
QoS/QoE
together
needed
satisfy
requirements
Besides,
may
operate
environments
limited
resources.
Therefore,
effective
management
resources
essential
support.
This
paper
provides
comprehensive
survey
state-of-the-art
studies
on
perspective.
Our
contributions
threefold:
(1)
QoE-driven
architecture
demonstrated
classifying
vital
components
according
QoE-related
functions
prior
studies,
(2)
QoE
optimization
objectives
classified
corresponding
resource
control
problems
architecture,
(3)
QoE-aware
e.g.,
offloading,
placement
data
caching
policies
Machine
Learning
approaches
extensively
reviewed.
Sensors,
Год журнала:
2023,
Номер
23(9), С. 4252 - 4252
Опубликована: Апрель 25, 2023
Given
the
growing
number
of
devices
and
their
need
for
internet
access,
researchers
are
focusing
on
integrating
various
network
technologies.
Concerning
indoor
wireless
services,
a
promising
approach
in
this
regard
is
to
combine
light
fidelity
(LiFi)
(WiFi)
technologies
into
hybrid
LiFi
WiFi
(HLWNet).
Such
benefits
from
LiFi’s
distinct
capability
high-speed
data
transmission
wide
radio
coverage
offered
by
In
paper,
we
describe
framework
HWLNet
architecture,
providing
an
overview
handover
methods
used
HLWNets
presenting
basic
architecture
LiFi/WiFi
networks,
optimization
cell
deployment,
relevant
modulation
schemes,
illumination
constraints,
backhaul
device
design.
The
survey
also
reviews
performance
recent
achievements
compared
legacy
networks
with
emphasis
signal
noise
interference
ratio
(SINR),
spectral
power
efficiency,
quality
service
(QoS).
addition,
user
behaviour
discussed,
considering
channel
due
movement,
frequency,
load
balancing.
Furthermore,
advances
positioning
security
presented,
finally,
directions
network’s
evolution
foreseeable
future
discussed.
Automatika,
Год журнала:
2024,
Номер
65(3), С. 973 - 982
Опубликована: Март 12, 2024
Large
amounts
of
processing
resources
are
required
for
the
sensed
raw
big
data
during
generation
process.
Furthermore,
as
typically
privacy
sensitive,
blockchain
technology
can
be
used
to
ensure
concerns.
This
study
examines
a
multiuser
mobile
offloading
network
that
consists
cloud
server
located
remotely
and
an
edge
node.
We
formulate
problem
joint
optimization
task
decision
making
all
users,
computation
resource
allocation
among
executing
applications,
radio
assignment
remote-processing
applications.
The
goal
is
minimize
maximum
weighted
cost
users.
When
compared
other
benchmark
approaches,
simulation
results
show
proposed
algorithm
achieves
optimal
in
terms
both
energy
consumption
delay
result
collaboration.
Finally
strategy
with
93%
efficiency
obtained.
