2022 IEEE Wireless Communications and Networking Conference (WCNC),
Journal Year:
2023,
Volume and Issue:
unknown, P. 1 - 6
Published: March 1, 2023
In
this
work,
we
investigate
the
performance
of
a
federated
edge
learning
(FEEL)-enhanced
computing
in
unmanned
aerial
vehicles
(UAV)-aided
internet
things
(IoT)
system
under
consideration
limited
energy
at
each
UAV.
It
consists
multiple
UAVs
which
apply
FEEL
for
local
training
and,
then,
transmit
required
parameters
to
centralized
IoT-server.
We
use
new
cost
metric
obtained
by
linear
combination
latency
and
consumption,
formulate
an
optimization
problem
jointly
optimize
central
processing
unit
(CPU)-frequency
during
allotted
bandwidth
overall
available
Due
non-convex
nature
formulated
problem,
propose
twin
delayed
deep
deterministic
policy
gradient
(TD3)-based
algorithm
that
solves
provides
optimum
CPU
frequency
user.
validate
accuracy
convergence
proposed
via
exhaustive
simulations
highlight
its
effectiveness
comparing
with
(DDPG)
Qnetwork
(DQN)-based
solutions.
Electronics,
Journal Year:
2023,
Volume and Issue:
12(12), P. 2651 - 2651
Published: June 13, 2023
Throughout
human
history,
agriculture
has
undergone
a
series
of
progressive
transformations
based
on
ever-evolving
technologies
in
an
effort
to
increase
productivity
and
profitability.
Over
the
years,
farming
methods
have
evolved
significantly,
progressing
from
Agriculture
1.0,
which
relied
primitive
tools,
2.0,
incorporated
machinery
advanced
practices,
subsequently
3.0,
emphasized
mechanization
employed
intelligent
technology
enhance
levels.
To
further
automate
agricultural
while
minimizing
inputs
pollutants,
new
approach
management
concepts
fourth
industrial
revolution
is
being
embraced
gradually.
This
referred
as
“Agriculture
4.0”
mainly
implemented
through
use
Internet
Things
(IoT)
technologies,
enabling
remote
control
sensors
actuators
efficient
collection
transfer
data.
In
addition,
fueled
by
such
robotics,
artificial
intelligence,
quantum
sensing,
four-dimensional
communication,
form
smart
agriculture,
called
5.0,”
now
emerging.
5.0
can
exploit
growing
5G
network
infrastructure
basis.
However,
only
6G-IoT
networks
will
be
able
offer
technological
advances
that
allow
full
expansion
5.0,
inferred
relevant
scientific
literature
research.
this
article,
we
first
introduce
scope
well
key
features
leveraged
much-anticipated
communication
systems.
We
then
highlight
importance
influence
these
developing
advancement
conclude
with
discussion
future
challenges
opportunities.
IEEE Open Journal of Vehicular Technology,
Journal Year:
2023,
Volume and Issue:
4, P. 558 - 580
Published: Jan. 1, 2023
Unmanned
aerial
vehicles
(UAVs)
have
recently
established
their
capacity
to
provide
cost-effective
and
credible
solutions
for
various
real-world
scenarios.
UAVs
an
immense
variety
of
services
due
autonomy,
mobility,
adaptability,
communications
interoperability.
Despite
the
expansive
use
support
ground
communications,
data
exchanges
in
those
networks
are
susceptible
security
threats
because
most
communication
is
through
radio
or
Wi-Fi
signals,
which
easy
hack.
While
several
techniques
exist
protect
against
cyberattacks.
Recently
emerging
technology
blockchain
could
be
one
promising
ways
enhance
user
privacy
peer-to-peer
UAV
networks.
Borrowing
superiorities
blockchain,
multiple
entities
can
communicate
securely,
decentralized,
equitably.
This
article
comprehensively
overviews
integration
blockchain-assisted
communication.
For
this
goal,
we
present
a
set
fundamental
analyses
critical
requirements
that
help
build
models
manage
decentralized
storage
systems.
The
system's
objectives,
including
availability,
authentication,
authorization,
confidentiality,
integrity,
privacy,
non-repudiation,
thoroughly
examined
deeper
insight.
We
wrap
up
with
discussion
open
research
challenges,
constraints
current
standards,
potential
future
directions.
IEEE Internet of Things Journal,
Journal Year:
2024,
Volume and Issue:
11(12), P. 21215 - 21226
Published: March 4, 2024
The
increasing
need
for
communication
capabilities
in
mobile
devices
has
led
to
the
recognition
of
edge
computing
(MEC)
as
a
critical
solution
addressing
computationally
intensive
and
latency-sensitive
tasks
due
its
widespread
distribution
resources
close
devices.
However,
scenarios
such
disaster
response
emergency
rescue,
rapid
deployment
servers
handle
may
be
challenging.
Therefore,
unmanned
aerial
vehicle
(UAV)-assisted
MEC
systems
have
garnered
significant
interest
their
ease
high
mobility.
Nonetheless,
limited
computational
sensing
radius
UAVs
give
rise
challenge
optimizing
target
area
coverage
mission
data
processing
timeliness
within
restricted
time
period.
In
this
challenge,
we
present
PCRDAC,
novel
reinforcement
learning-based
mobility
management
framework
UAVs.
This
periodically
instructs
collaboratively
update
decision
networks,
thus
determining
movement
patterns.
can
also
control
support
worst-case
scenarios.
Comprehensive
simulation
experiments
validate
efficacy
our
framework.
Our
promotes
efficient
collaboration
among
significantly
reduces
staleness
system.
As
result,
collect
ambient
that
is
fresh
enough.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(4), P. 1227 - 1227
Published: Feb. 15, 2024
The
Internet
of
Things
(IoT)
is
gaining
popularity
and
market
share,
driven
by
its
ability
to
connect
devices
systems
that
were
previously
siloed,
enabling
new
applications
services
in
a
cost-efficient
manner.
Thus,
the
IoT
fuels
societal
transformation
enables
groundbreaking
innovations
like
autonomous
transport,
robotic
assistance,
remote
healthcare
solutions.
However,
when
considering
Remote
(IoRT),
which
refers
expansion
geographically
isolated
areas
where
neither
terrestrial
nor
cellular
networks
are
available,
internet
connectivity
becomes
challenging
issue.
Non-Terrestrial
Networks
(NTNs)
increasingly
as
solution
provide
due
growing
integration
satellites
Unmanned
Aerial
Vehicles
(UAVs)
with
networks.
In
this
survey,
we
technological
framework
for
NTNs
IoT,
followed
classification
most
recent
scientific
research
on
NTN-based
IoRT
systems.
Therefore,
comprehensive
overview
current
state
identify
emerging
high
potential.
conclusion,
present
discuss
3GPP’s
roadmap
NTN
standardization,
aims
establish
an
energy-efficient
environment
6G
era.
IEEE Open Journal of Vehicular Technology,
Journal Year:
2024,
Volume and Issue:
5, P. 825 - 854
Published: Jan. 1, 2024
This
paper
provides
a
comprehensive
overview
of
the
evolution
Machine
Learning
(ML),
from
traditional
to
advanced,
in
its
application
and
integration
into
unmanned
aerial
vehicle
(UAV)
communication
frameworks
practical
applications.
The
manuscript
starts
with
an
existing
research
on
UAV
introduces
most
ML
techniques.
It
then
discusses
UAVs
as
versatile
actors
mobile
networks,
assuming
different
roles
airborne
user
equipment
(UE)
base
stations
(BS).
have
demonstrated
considerable
potential
addressing
evolving
challenges
next-generation
such
enhancing
coverage
facilitating
temporary
hotspots
but
pose
new
hurdles
including
optimal
positioning,
trajectory
optimization,
energy
efficiency.
We
therefore
conduct
review
advanced
strategies,
ranging
federated
learning,
transfer
meta-learning
explainable
AI,
address
those
challenges.
Finally,
use
state-of-the-art
algorithms
these
capabilities
is
explored
their
extension
cloud
and/or
edge
computing
based
network
architectures
highlighted.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(6), P. 1837 - 1837
Published: March 13, 2024
Recently,
the
integration
of
unmanned
aerial
vehicles
(UAVs)
with
edge
computing
has
emerged
as
a
promising
paradigm
for
providing
computational
support
Internet
Things
(IoT)
applications
in
remote,
disaster-stricken,
and
maritime
areas.
In
UAV-aided
computing,
offloading
decision
plays
central
role
optimizing
overall
system
performance.
However,
trajectory
directly
affects
decision.
general,
IoT
devices
use
ground
offload
computation-intensive
tasks
on
servers.
The
UAVs
plan
their
trajectories
based
task
generation
rate.
Therefore,
researchers
are
attempting
to
optimize
along
trajectory,
numerous
studies
ongoing
determine
impact
decisions.
this
survey,
we
review
existing
trajectory-aware
techniques
by
focusing
design
concepts,
operational
features,
outstanding
characteristics.
Moreover,
they
compared
terms
principles
Open
issues
research
challenges
discussed,
future
directions.
