IEEE Access,
Год журнала:
2022,
Номер
10, С. 66374 - 66400
Опубликована: Янв. 1, 2022
Industry
4.0
relates
to
the
digital
revolution
of
manufacturing
and
other
markets
such
as
retail,
distribution,
oil
gas,
infrastructure.
On
hand,
Industrial
Internet
Things
(IIoT)
is
a
technological
advancement
that
leads
implementation
by
boosting
sector's
productivity
economic
impact.
IIoT
provides
ability
provide
global
connectivity
between
components
in
different
locations.
The
sector
has
had
various
difficulties
implementing
IIoT,
primarily
due
IoT
characteristics.
We
offer
an
in-depth
review
this
survey.
primary
motivation
behind
survey
introduce
most
recent
advancements
related
address
existing
limitations.
First,
we
novel
taxonomy
challenges
includes
aspects
each
challenge,
terminology
approaches
utilized
solve
these
challenges.
Besides
challenges,
demonstration
many
concepts
architecture
use
cases.
Second,
study
comprehensive
state-of-the-art
4
terms
concepts,
requirements
supporting
technology.
In
addition,
discuss
correlation
enabling
technology
technical
detail.
Finally,
our
targets
deep
learning,
edge
computing,
big
data
key
techniques
for
future
IIoT.
Furthermore,
presented
technique
thoroughly
examined
present
method
adoption.
Additionally,
proposed
technique,
propose
new
based
on
three
techniques.
IEEE Open Journal of the Communications Society,
Год журнала:
2021,
Номер
2, С. 836 - 886
Опубликована: Янв. 1, 2021
Emerging
applications
such
as
Internet
of
Everything,
Holographic
Telepresence,
collaborative
robots,
and
space
deep-sea
tourism
are
already
highlighting
the
limitations
existing
fifth-generation
(5G)
mobile
networks.
These
in
terms
data-rate,
latency,
reliability,
availability,
processing,
connection
density
global
coverage,
spanning
over
ground,
underwater
space.
The
sixth-generation
(6G)
networks
expected
to
burgeon
coming
decade
address
these
limitations.
development
6G
vision,
applications,
technologies
standards
has
become
a
popular
research
theme
academia
industry.
In
this
paper,
we
provide
comprehensive
survey
current
developments
towards
6G.
We
highlight
societal
technological
trends
that
initiate
drive
realize
demands
raised
by
driving
discussed
subsequently.
also
elaborate
requirements
necessary
applications.
Then
present
key
enabling
detail.
outline
projects
activities
including
standardization
efforts
Finally,
summarize
lessons
learned
from
state-of-the-art
discuss
technical
challenges
would
shed
new
light
on
future
directions
Internet of Things and Cyber-Physical Systems,
Год журнала:
2023,
Номер
3, С. 192 - 204
Опубликована: Янв. 1, 2023
The
Internet
of
Things
(IoT)
is
playing
a
significant
role
in
the
transformation
traditional
factories
into
smart
Industry
4.0
by
using
network
interconnected
devices,
sensors,
and
software
to
monitor
optimize
production
process.
Predictive
maintenance
IoT
can
also
be
used
prevent
machine
failures,
reduce
downtime,
extend
lifespan
equipment.
To
energy
usage
during
part
manufacturing,
manufacturers
obtain
real-time
insights
consumption
patterns
deploying
sensors
factories.
Also,
provide
more
comprehensive
view
factory
environment
enhance
workplace
safety
identifying
potential
hazards
alerting
workers
dangers.
Suppliers
use
IoT-enabled
tracking
devices
shipments
updates
on
delivery
times
locations
order
analyze
supply
chain
Moreover,
powerful
technology
which
inventory
management
costs,
improve
efficiency,
visibility
levels
movements.
impact
internet
thing
industry
4.0,
review
presented.
Applications
things
such
as
predictive
maintenance,
asset
tracking,
management,
quality
control,
process
monitoring,
efficiency
optimization
are
reviewed.
Thus,
analyzing
application
new
ideas
advanced
methodologies
provided
control
processes.
IEEE Transactions on Industrial Informatics,
Год журнала:
2021,
Номер
18(5), С. 3501 - 3509
Опубликована: Окт. 11, 2021
Federated
learning
(FL)
is
a
recent
development
in
artificial
intelligence,
which
typically
based
on
the
concept
of
decentralized
data.
As
cyberattacks
are
frequently
happening
various
applications
deployed
real
time,
most
industrialists
hesitating
to
move
forward
adopting
technology
Internet
Everything.
This
article
aims
provide
an
extensive
study
how
FL
could
be
utilized
for
providing
better
cybersecurity
and
prevent
time.
We
present
survey
models
currently
developed
by
researchers
authentication,
privacy,
trust
management,
attack
detection.
also
discuss
few
real-time
use
cases
that
have
been
recently
adopted
them
preserving
privacy
data
improving
performance
system.
Based
study,
we
conclude
this
with
some
prominent
challenges
future
directions
can
focus
scenarios.
IEEE Communications Surveys & Tutorials,
Год журнала:
2022,
Номер
24(1), С. 88 - 122
Опубликована: Янв. 1, 2022
With
rapid
development
of
enabling
technologies
such
as
Internet
Things,
robotics,
and
big
data,
the
fourth
industrial
revolution
known
“Industry
4.0”
(I4.0)
has
become
a
great
opportunity
for
productivity
innovation
around
world.
Industrial
Things
(IIoT),
typical
implication
Cyber-Physical
Systems
(CPS)
in
I4.0
era,
attracted
significant
attention.
It
aims
at
optimizing
resources
improving
production
efficiency
manufacturing
industry
through
deep
interconnection
physical
equipment,
wide
collection
multi-dimensional
intelligent
awareness
environment
automatic
control.
Blockchain
is
kind
distributed
ledger
technology
features
including
decentralization,
anti-tamper,
transparency,
anonymity,
contract-autonomy.
These
are
helpful
to
improve
services
promote
IIoT.
In
this
paper,
we
provide
comprehensive
survey
on
literatures
applying
blockchain
into
We
firstly
introduce
related
works
background
knowledge.
And
then,
motivations
benefits
IIoT
discussed
detail.
Furthermore,
based
layered
architecture
summarized
previous
work,
outline
research
framework
Meanwhile,
application
presented
from
perspectives
devices
security,
data
sharing,
application.
Moreover,
explore
technical
requirements
platforms
applications.
Finally,
some
challenges
future
directions
IIoT,
well
broader
perspectives,
concluded
further
study.
IEEE Communications Surveys & Tutorials,
Год журнала:
2023,
Номер
25(4), С. 2983 - 3013
Опубликована: Янв. 1, 2023
In
recent
years,
Federated
Learning
(FL)
has
gained
relevance
in
training
collaborative
models
without
sharing
sensitive
data.
Since
its
birth,
Centralized
FL
(CFL)
been
the
most
common
approach
literature,
where
a
central
entity
creates
global
model.
However,
centralized
leads
to
increased
latency
due
bottlenecks,
heightened
vulnerability
system
failures,
and
trustworthiness
concerns
affecting
responsible
for
model
creation.
Decentralized
(DFL)
emerged
address
these
by
promoting
decentralized
aggregation
minimizing
reliance
on
architectures.
despite
work
done
DFL,
literature
not
(i)
studied
main
aspects
differentiating
DFL
CFL;
(ii)
analyzed
frameworks
create
evaluate
new
solutions;
(iii)
reviewed
application
scenarios
using
DFL.
Thus,
this
article
identifies
analyzes
fundamentals
of
terms
federation
architectures,
topologies,
communication
mechanisms,
security
approaches,
key
performance
indicators.
Additionally,
paper
at
hand
explores
existing
mechanisms
optimize
critical
fundamentals.
Then,
relevant
features
current
are
compared.
After
that,
it
used
scenarios,
identifying
solutions
based
previously
defined.
Finally,
evolution
is
provide
list
trends,
lessons
learned,
open
challenges.
