International Journal of Communication Systems,
Год журнала:
2024,
Номер
38(3)
Опубликована: Дек. 30, 2024
ABSTRACT
Wireless
sensor
and
actor
networks
(WSANs)
are
gaining
substantial
recognition
because
of
their
utility
in
inhospitable
environments
where
humans
have
restricted
accessibility.
The
extensive
applications
WSANs
different
domains
require
effectiveness,
reliability,
some
degree
robustness.
These
may
experience
frequent
node
failures
due
to
deployment
rough
environments,
such
as
energy
depletion
onboard
electronics
failure
network
nodes.
result
areas
with
no
coverage,
which
further
deteriorate
the
standard
data
accumulated.
However,
partitioning
into
disjoint
fragments
is
most
severe
repercussion
that
arises
these
failures.
results
various
negative
impacts
like
obstruction
exchange
coordination
among
Therefore,
detecting
restoring
connectivity
important.
This
paper
reviews
reported
partition
detection
recovery
techniques.
limitations
techniques
highlighted,
along
advantages
incorporating
unmanned
aerial
vehicles
(UAVs)
ground
wireless
networks.
UAVs
evolving
become
a
critical
element
future
technologies.
incorporates
analysis
UAV‐assisted
consisting
technical
issues,
challenges,
requirements
related
UAVs'
employment
Thereafter,
discussed
application
scenarios
for
problem.
also
highlights
challenges
associating
process.
Transactions on Emerging Telecommunications Technologies,
Год журнала:
2025,
Номер
36(5)
Опубликована: Май 1, 2025
ABSTRACT
In
disaster
situations,
conventional
vehicular
communication
networks
often
face
heavy
congestion,
which
hinders
the
effectiveness
of
Vehicle‐to‐Vehicle
(V2V)
communication.
To
overcome
this
issue,
Vehicle‐to‐Unmanned
Aerial
Vehicle
(V2U)
is
a
crucial
alternative,
offering
an
expanded
network
infrastructure
for
real‐time
information
sharing.
Nonetheless,
both
V2V
and
V2U
are
vulnerable
to
cyber‐physical
disruptions
caused
by
malicious
attacks,
signal
interference,
environmental
factors.
This
paper
introduces
advanced
anomaly
detection
framework
tailored
disaster‐response
networks,
combines
discrete‐time
Markov
chain
(DTMC)
with
machine
learning
(ML)
methods.
The
model
employs
DTMC
define
normal
transmission
behavior
while
adaptively
modifying
state
transition
probabilities
through
ML
techniques
using
data.
simulations
in
MATLAB
validate
proposed
method
analyzing
log‐likelihood
maneuver
patterns
evaluating
performance
Receiver
Operating
Characteristic
(ROC)
curves.
Our
findings
reveal
that
hybrid
DTMC‐ML
successfully
detects
anomalies
achieving
high
true
positive
rate
reducing
false
alarms.
research
aids
advancing
resilient
systems
response,
thereby
improving
reliability
security
intelligent
transportation
extreme
situations.
Journal of Marine Science and Engineering,
Год журнала:
2025,
Номер
13(6), С. 1103 - 1103
Опубликована: Май 30, 2025
The
rapid
evolution
of
wireless
communications
has
introduced
new
possibilities
for
the
digital
transformation
maritime
operations.
As
5G
begins
to
take
shape
in
selected
nearshore
and
port
environments,
forthcoming
6G
promises
unlock
transformative
capabilities
across
entire
domain,
integrating
Terrestrial/Non-Terrestrial
Networks
(TN/NTN)
form
a
space-air-ground-sea-underwater
system.
This
paper
presents
comprehensive
review
how
6G-enabling
technologies
can
be
adapted
address
unique
challenges
Maritime
Communication
(MCNs).
We
begin
by
outlining
reference
architecture
heterogeneous
MCNs
reviewing
limitations
existing
deployments
at
sea.
then
explore
key
technical
advancements
map
them
use
cases
such
as
fleet
coordination,
just-in-time
logistics,
low-latency
emergency
response.
Furthermore,
critical
Artificial
Intelligence/Machine
Learning
(AI/ML)
concepts
algorithms
are
described
highlight
their
potential
optimizing
functionalities.
Finally,
we
propose
set
resource
optimization
scenarios,
including
dynamic
spectrum
allocation,
energy-efficient
edge
offloading
MCNs,
discuss
AI/ML
learning-based
methods
offer
scalable,
adaptive
solutions.
By
bridging
gap
between
emerging
practical
requirements,
this
highlights
role
intelligent,
resilient,
globally
connected
networks
shaping
future
communications.
Electronics,
Год журнала:
2024,
Номер
13(22), С. 4509 - 4509
Опубликована: Ноя. 17, 2024
A
key
aspect
in
evaluating
the
performance
of
a
UAV
or
its
swarm
is
reliability.
The
reliability
calculated
based
on
various
mathematical
models.
Traditionally,
Binary-State
System
(BSS)
models,
which
assess
two
states—operational
and
faulty—are
employed.
However,
some
studies
suggest
using
Multi-State
(MSS)
model,
allows
for
detailed
analysis
by
considering
multiple
states
beyond
just
operational
faulty.
Both
models
allow
evaluation
Unmanned
Aerial
Vehicle
(UAV)
swarms
availability,
considered
as
probability
mission
implementation.
There
one
more
similar
assessment
computed
MSS,
named
probabilities
level.
are
not
any
recommendations
applications
these
assessments
analyses
swarms.
This
paper
introduces
comparative
study
availability
both
BSS
MSS
levels
provides
quantitative
qualitative
to
exploit
according
computational
complexity
informativeness.
shows
that
failure
should
be
BSS,
operation
implemented
probabilities’
instead
availability.
These
results
confirmed
statistical
examinations
different
types
MSS.
number
UAVs
changed
from
2
20
examinations.
