2022 International Conference on Unmanned Aircraft Systems (ICUAS),
Journal Year:
2024,
Volume and Issue:
unknown, P. 1034 - 1041
Published: June 4, 2024
Providing
secure
communications
has
become
imperative
in
single-
and
multi-agent
systems
that
need
to
ensure
the
integrity,
confidentiality,
availability
of
transmitted
data,
especially
when
these
are
employed
critical
in-frastructure
applications.
This
work
presents
a
novel
approach
for
between
group
unmanned
aerial
vehicles
(UAVs)
safeguard
confidentiality
data
exchanged
such
system,
employing
robot
operating
system
(ROS),
virtual
private
network
(VPN),
chaotic-based
communication
architecture.
Specifically,
custom
ROS-based
framework
is
developed
collect
distribute
UAV
sensor
while
VPN
deployed
as
first
layer
security
system.
Subsequently,
lightweight
module
incorporated
second
enable
UAVs
real
time.
To
evaluate
proposed
prototype
multi-UAV
designed,
implemented,
extensively
tested
real-world
environment.
The
achieves
real-time
communications,
with
low
power
consumption
minimal
processing
resources
(CPU
RAM
usage),
demonstrating
its
applicability
energy-constrained
UAV-based
under
consideration.
Proceedings of the IEEE,
Journal Year:
2024,
Volume and Issue:
112(4), P. 331 - 364
Published: April 1, 2024
An
introduction
of
intelligent
interconnectivity
for
people
and
things
has
posed
higher
demands
more
challenges
sixth-generation
(6G)
networks,
such
as
high
spectral
efficiency
energy
(EE),
ultralow
latency,
ultrahigh
reliability.
Cell-free
(CF)
massive
multiple-input-multiple-output
(mMIMO)
reconfigurable
surface
(RIS),
also
called
reflecting
(IRS),
are
two
promising
technologies
coping
with
these
unprecedented
demands.
Given
their
distinct
capabilities,
integrating
the
to
further
enhance
wireless
network
performances
received
great
research
development
attention.
In
this
article,
we
provide
a
comprehensive
survey
on
RIS-aided
CF
mMIMO
communication
systems.
We
first
introduce
system
models
focusing
architecture
application
scenarios,
channel
models,
protocols.
Subsequently,
summarize
relevant
studies
operation
resource
allocation,
providing
in-depth
analyses
discussions.
Following
this,
present
practical
faced
by
systems,
particularly
those
introduced
RIS,
hardware
impairments
(HIs)
electromagnetic
interference
(EMI).
corresponding
solutions
facilitate
implementation
Furthermore,
explore
an
interplay
between
other
emerging
6G
technologies,
millimeter
wave
(mmWave)
terahertz
(THz),
simultaneous
information
power
transfer
(SWIPT),
next-generation
multiple
access
(NGMA),
unmanned
aerial
vehicle
(UAV).
Finally,
outline
several
directions
future
Sensors,
Journal Year:
2025,
Volume and Issue:
25(1), P. 274 - 274
Published: Jan. 6, 2025
As
the
Internet
of
Things
(IoT)
expands
globally,
challenge
signal
transmission
in
remote
regions
without
traditional
communication
infrastructure
becomes
prominent.
An
effective
solution
involves
integrating
aerial,
terrestrial,
and
space
components
to
form
a
Space–Air–Ground
Integrated
Network
(SAGIN).
This
paper
discusses
an
uplink
scenario
which
various
types
data
collection
sensors
as
IoT
devices
use
Unmanned
Aerial
Vehicles
(UAVs)
relays
forward
signals
low-Earth-orbit
satellites.
Considering
fairness
resource
allocation
among
same
category,
our
goal
is
maximize
minimum
channel
capacity
for
each
category
devices,
multi-objective
optimization
problem.
Specifically,
variables
include
deployment
locations
UAVs,
bandwidth
ratios,
association
between
UAVs
devices.
To
address
this
problem,
we
propose
evolutionary
algorithm
that
ensures
fair
distribution
multiple
parties.
The
validated
eight
different
settings
compared
with
algorithms.
experimental
results
demonstrate
proposed
can
achieve
higher-quality
Pareto
fronts
(PFs)
better
convergence,
indicating
more
equitable
improved
algorithmic
effectiveness
addressing
issue.
Moreover,
these
pre-prepared,
high-quality
solutions
from
PFs
provide
adaptability
varying
requirements
scenarios.
IEEE Transactions on Mobile Computing,
Journal Year:
2024,
Volume and Issue:
23(9), P. 8601 - 8619
Published: Jan. 8, 2024
Unmanned
aerial
vehicles
(UAVs)
as
relays
are
practically
appealing
for
assisting
the
Internet
of
Things
(IoT)
network.
In
this
work,
we
aim
to
utilize
a
UAV
swarm
assist
secure
communication
between
micro
base
station
(MBS)
equipped
with
planar
antenna
array
(PAA)
and
IoT
terminal
devices
by
collaborative
beamforming
(CB),
so
counteract
effects
eavesdropper
colluding
in
time
domain.
Specifically,
formulate
swarm-enabled
relay
multi-objective
optimization
problem
(US*****RMOP)
simultaneously
maximizing
achievable
sum
rate
associated
devices,
minimizing
energy
consumption
swarm,
jointly
optimizing
excitation
current
weights
both
MBS
selection
receiver,
position
UAVs
user
association
order
devices.
Furthermore,
formulated
US*****RMOP
is
proved
be
non-convex,
NP-hard
large-scale
problem.
Therefore,
propose
an
improved
grasshopper
algorithm
(IMOGOA)
some
specific
designs
address
Simulation
results
exhibit
effectiveness
proposed
strategy
demonstrate
superiority
IMOGOA.
IEEE Transactions on Wireless Communications,
Journal Year:
2023,
Volume and Issue:
23(5), P. 4691 - 4708
Published: Oct. 10, 2023
Unmanned
aerial
vehicles
(UAVs)-aided
device-to-device
(D2D)
networks
have
attracted
great
interests
with
the
development
of
5G/6G
communications,
while
there
are
several
challenges
about
resource
scheduling
in
UAVs-aided
D2D
networks.
In
this
work,
we
formulate
a
network
optimization
problem
(NetResSOP)
to
comprehensively
consider
number
deployed
UAVs,
UAV
positions,
transmission
powers,
flight
velocities,
communication
channels,
and
UAV-device
pair
assignment
so
as
maximize
capacity,
minimize
average
energy
consumption
over
all
UAVs
simultaneously.
The
formulated
NetResSOP
is
mixed-integer
programming
(MIPP)
an
NP-hard
problem,
which
means
that
it
difficult
be
solved
polynomial
time.
Moreover,
trade-offs
between
objectives,
hence
also
find
optimal
solution
can
simultaneously
make
objectives
optimal.
Thus,
propose
non-dominated
sorting
genetic
algorithm-III
Flexible
dimension
mechanism,
Discrete
part
generation
adjustment
mechanism
(NSGA-III-FDU)
for
solving
comprehensively.
Simulation
results
demonstrate
effectiveness
stability
proposed
NSGA-III-FDU
under
different
scales
settings
ACM Computing Surveys,
Journal Year:
2024,
Volume and Issue:
57(3), P. 1 - 37
Published: Nov. 8, 2024
The
increasing
popularity
of
Unmanned
Aerial
Vehicle
(UAV)
swarms
is
attributed
to
their
ability
generate
substantial
returns
for
various
industries
at
a
low
cost.
Additionally,
in
the
future
landscape
wireless
networks,
UAV
can
serve
as
airborne
base
stations,
alleviating
scarcity
communication
resources.
However,
swarm
networks
are
vulnerable
security
threats
that
attackers
exploit
with
unpredictable
consequences.
Against
this
background,
article
provides
comprehensive
review
on
networks.
We
begin
by
briefly
introducing
dominant
technologies,
followed
civilian
and
military
applications.
then
present
categorize
potential
attacks
may
encounter,
such
denial-of-service
attacks,
man-in-the-middle
against
Machine
Learning
(ML)
models.
After
that,
we
introduce
technologies
be
utilized
address
these
including
cryptography,
physical
layer
techniques,
blockchain,
ML,
intrusion
detection.
investigate
summarize
mitigation
strategies
addressing
different
Finally,
some
research
directions
challenges
discussed.
