Internet of Things,
Journal Year:
2024,
Volume and Issue:
25, P. 101087 - 101087
Published: Jan. 25, 2024
Dataspace
and
emerging
technologies
play
a
key
role
in
developing
value
chain
systems
using
cross-domain
data,
services
integration.
Therefore,
this
study
has
conducted
comprehensive
literature
review
for
six
years
(2017-2022)
on
the
convergence
of
Internet
Things
(IoT),
Artificial
Intelligence
(AI)
Distributed
Ledger
(Blockchain)
supporting
integration
efforts
at
Edge.
As
an
outcome,
identified
relevant
challenges
that
include
heterogeneity,
interoperability,
distributed
security,
trust,
scalability,
resource
management.
It
also
been
found
very
limited
research
covers
architectural
aspects
edge
context
purposes.
proposed
framework
-
Edge
Network
Operations-oriented
Semantic
(DENOS)
model
extends
traditional
Cloud-Edge-Device
architecture
with
three
new
layers
Semantic,
Convergence,
In
addition,
leverages
power
semantic
modelling
(i.e.,
Processing,
Service,
Data)
context,
which
enables
to
have
dynamic
implementation
suit
diverse
needs
target
use
cases.
To
showcase
validation
model,
case
related
digital
traceable
operation
wind
energy
domain
presented.
The
objective
DENOS
is
enable
build
edge-enabled
networks.
Thus,
it
contributes
secure
resources
technologies,
collaboration,
reusability
data-driven
decision-making
resources.
Cognitive Robotics,
Journal Year:
2023,
Volume and Issue:
3, P. 54 - 70
Published: Jan. 1, 2023
Artificial
Intelligence
(AI),
Machine
Learning
(ML),
and
Deep
(DL)
have
revolutionized
the
field
of
advanced
robotics
in
recent
years.
AI,
ML,
DL
are
transforming
robotics,
making
robots
more
intelligent,
efficient,
adaptable
to
complex
tasks
environments.
Some
applications
include
autonomous
navigation,
object
recognition
manipulation,
natural
language
processing,
predictive
maintenance.
These
technologies
also
being
used
development
collaborative
(cobots)
that
can
work
alongside
humans
adapt
changing
environments
tasks.
The
be
transportation
systems
order
provide
safety,
efficiency,
convenience
passengers
companies
.
Also,
playing
a
critical
role
advancement
manufacturing
assembly
robots,
enabling
them
efficiently,
safely,
intelligently.
Furthermore,
they
wide
range
aviation
management,
helping
airlines
improve
reduce
costs,
customer
satisfaction.
Moreover,
help
taxi
better,
safer
services
customers.
research
presents
an
overview
current
developments
discusses
various
robot
modification.
Further
works
regarding
suggested
fill
gaps
between
existing
studies
published
papers.
By
reviewing
systems,
it
is
possible
investigate
modify
performances
enhance
productivity
robotic
industries.
IEEE Internet of Things Journal,
Journal Year:
2022,
Volume and Issue:
9(17), P. 15435 - 15459
Published: May 19, 2022
The
latest
5G
mobile
networks
have
enabled
many
exciting
Internet
of
Things
(IoT)
applications
that
employ
unmanned
aerial
vehicles
(UAVs/drones).
success
most
UAV-based
IoT
is
heavily
dependent
on
artificial
intelligence
(AI)
technologies,
for
instance,
computer
vision
and
path
planning.
These
AI
methods
must
process
data
provide
decisions
while
ensuring
low
latency
energy
consumption.
However,
the
existing
cloud-based
paradigm
finds
it
difficult
to
meet
these
strict
UAV
requirements.
Edge
AI,
which
runs
on-device
or
edge
servers
close
users,
can
be
suitable
improving
services.
This
article
provides
a
comprehensive
analysis
impact
key
technical
aspects
(i.e.,
autonomous
navigation,
formation
control,
power
management,
security
privacy,
vision,
communication)
delivery
systems,
civil
infrastructure
inspection,
precision
agriculture,
search
rescue
(SAR)
operations,
acting
as
wireless
base
stations
(BSs),
drone
light
shows).
As
guidance
researchers
practitioners,
this
also
explores
implementation
challenges,
lessons
learned,
future
research
directions.
Drones,
Journal Year:
2022,
Volume and Issue:
6(7), P. 154 - 154
Published: June 22, 2022
Disasters
are
crisis
circumstances
that
put
human
life
in
jeopardy.
During
disasters,
public
communication
infrastructure
is
particularly
damaged,
obstructing
Search
And
Rescue
(SAR)
efforts,
and
it
takes
significant
time
effort
to
re-establish
functioning
infrastructure.
SAR
a
critical
component
of
mitigating
environmental
risks
disasters
harsh
environments.
As
result,
there
an
urgent
need
construct
networks
swiftly
help
efforts
exchange
emergency
data.
UAV
technology
has
the
potential
provide
key
solutions
mitigate
such
disaster
situations.
UAVs
can
be
used
adaptable
reliable
backbone
resolve
major
issues
for
operations.
In
this
paper,
we
evaluate
network
performance
UAV-assisted
intelligent
edge
computing
expedite
missions
functionality,
as
deployed
within
short
rescue
most
people
during
disaster.
We
have
considered
parameters
delay,
throughput,
traffic
sent
received,
well
path
loss
proposed
network.
It
also
demonstrated
with
parameter
optimization,
improves
significantly,
eventually
leading
far
more
efficient
Journal of Network and Computer Applications,
Journal Year:
2022,
Volume and Issue:
201, P. 103341 - 103341
Published: Feb. 1, 2022
With
the
increasing
growth
of
internet-of-things
(IoT)
devices,
effective
computation
performance
has
become
a
critical
issue.
Many
services
provided
by
IoT
devices
(e.g.,
augmented
reality,
location-tracking,
traffic
systems,
and
autonomous
driving)
require
intensive
real-time
data
processing,
which
demands
powerful
computational
resources.
Mobile
edge
computing
(MEC)
been
introduced
to
effectively
handle
this
problem
reliably
over
internet.
The
inclusion
MEC
server
allows
computationally
tasks
be
offloaded
from
devices.
However,
communication
overhead
delays
are
major
drawbacks.
advantages
high
mobility
low
cost,
unmanned
aerial
vehicles
(UAVs)
can
mitigate
issue
acting
as
servers.
offloading
decisions
for
such
scenarios
involve
service
latency,
energy/power
consumption,
execution
delays.
For
reason,
study
reviews
UAV-enabled
solutions
in
was
focus
research.
We
compare
algorithms
qualitatively
assess
features
performance.
Finally,
we
discuss
open
issues
research
challenges
terms
design
implementation.
Remote Sensing,
Journal Year:
2022,
Volume and Issue:
14(3), P. 620 - 620
Published: Jan. 27, 2022
Unmanned
aerial
vehicles
(UAVs)
are
gaining
considerable
interest
in
transportation
engineering
order
to
monitor
and
analyze
traffic.
This
systematic
review
surveys
the
scientific
contributions
application
of
UAVs
for
civil
engineering,
especially
those
related
traffic
monitoring.
Following
PRISMA
framework,
34
papers
were
identified
five
databases.
First,
this
paper
introduces
previous
works
field.
In
addition,
selected
analyzed,
some
conclusions
drawn
complement
findings.
It
can
be
stated
that
is
still
a
field
its
infancy
progress
advanced
image
processing
techniques
technologies
used
construction
will
lead
an
explosion
number
applications,
which
result
increased
benefits
society,
reducing
unpleasant
situations,
such
as
congestion
collisions
major
urban
centers
world.
Drones,
Journal Year:
2022,
Volume and Issue:
6(7), P. 177 - 177
Published: July 18, 2022
Unmanned
Aerial
Vehicles
(UAVs)
are
increasingly
being
used
in
a
high-computation
paradigm
enabled
with
smart
applications
the
Beyond
Fifth
Generation
(B5G)
wireless
communication
networks.
These
networks
have
an
avenue
for
generating
considerable
amount
of
heterogeneous
data
by
expanding
number
Internet
Things
(IoT)
devices
environments.
However,
storing
and
processing
massive
limited
computational
capability
energy
availability
at
local
nodes
IoT
network
has
been
significant
difficulty,
mainly
when
deploying
Artificial
Intelligence
(AI)
techniques
to
extract
discriminatory
information
from
different
tasks.Therefore,
Mobile
Edge
Computing
(MEC)
evolved
as
promising
computing
leveraged
efficient
technology
improve
quality
services
edge
performance
better
than
cloud
networks,
addressing
challenging
problems
latency
computation-intensive
offloading
UAV-assisted
framework.
This
paper
provides
comprehensive
review
intelligent
UAV
enable
6G
over
We
highlight
utility
critical
role
Federated
Learning
(FL)
meeting
challenges
related
energy,
security,
task
offloading,
present
reader
insight
into
computing,
advantages,
applications,
that
can
provide
helpful
guidance
future
research.
IEEE Internet of Things Journal,
Journal Year:
2023,
Volume and Issue:
10(16), P. 14438 - 14461
Published: May 1, 2023
With
the
rapid
development
of
Internet
Things
(IoT),
there
are
a
dramatically
increasing
number
devices,
leading
to
fact
that
only
using
terrestrial
infrastructure
can
hardly
provide
high-quality
services
all
devices.
Due
their
flexibility,
maneuverability,
and
economy,
unmanned
aerial
vehicles
(UAVs)
widely
used
improve
performance
IoT
networks.
UAVs
not
wireless
access
devices
in
absence
network
but
also
perform
rich
applications
such
as
video
surveillance,
cargo
transportation,
pesticide
spraying,
so
forth.
However,
due
high
complexity,
dynamics,
heterogeneity
UAV-assisted
networks,
growing
attention
has
focused
on
artificial
intelligence
(AI)-based
methods
optimize,
schedule,
orchestrate
In
this
article,
we
comprehensively
analyze
impact
applying
advanced
AI
architectures,
models,
different
aspects
including
key
technologies,
tasks,
applications.
addition,
article
explores
challenges
discusses
potential
research
directions
AI-enabled
IEEE Transactions on Intelligent Transportation Systems,
Journal Year:
2023,
Volume and Issue:
25(7), P. 6276 - 6289
Published: Dec. 28, 2023
There
exists
a
tremendous
number
of
research
surveys
on
various
aspects
UAV
logistics,
mobility
and
monitoring
tasks
in
the
literature.
These
have
been
published
distinct
venues,
often
having
significant
overlap
goals
key
findings.
In
this
study,
we
provide
meta
review
across
nearly
100
extant
overview
papers,
extract
their
messages,
investigate
extent
being
complementary.
We
develop
AERIAL
framework,
which
aggregates
major
challenges
way
to
successful
application
UAVs
for
mobility,
monitoring.
believe
that
framework
contribute
towards
clearer
understanding
scientific
landscape
identification
potential
directions
future
studies.
