IEEE Transactions on Vehicular Technology,
Journal Year:
2023,
Volume and Issue:
73(5), P. 6672 - 6686
Published: Dec. 28, 2023
New
Radio
(NR)
Vehicle-to-Everything
(V2X)
based
Vulnerable
Road
User
Protection
(VRUP)
can
effectively
reduce
traffic
accidents,
making
it
a
promising
application
in
intelligent
transport
systems.
However,
considering
the
scarcity
of
radio
resources
and
inefficiency
resource
allocation,
performance
reduction
caused
by
collisions
may
restrict
its
development
V2X
network.
In
this
paper,
we
propose
flexible
allocation
scheme,
namely
Zone
cluster
Resource
Reuse
(ZRR),
to
collision
achieve
better
delivery
NR
VRUP.
We
then
develop
theoretical
framework
on
stochastic
geometry
efficiently
characterize
VRUP
message
process
under
ZRR,
taking
into
account
specified
factors
V2X.
With
help
framework,
are
able
derive
two
important
metrics,
probability
Equipment
(UE)
transmit
power,
further
search
for
optimal
parameter
setting
ZRR.
Extensive
simulation
results
provided
demonstrate
effectiveness
ZRR
framework.
Under
setting,
is
very
desirable
delivery,
especially
resource-constrained
access-intensive
scenario.
Information,
Journal Year:
2025,
Volume and Issue:
16(3), P. 202 - 202
Published: March 5, 2025
The
consensus
algorithm
is
the
core
technology
of
blockchain
systems
to
maintain
data
consistency,
and
its
performance
directly
affects
efficiency
security
whole
system.
Practical
Byzantine
Fault
Tolerance
(PBFT)
plays
a
crucial
role
in
algorithms
by
providing
robust
mechanism
achieve
fault-tolerant
deterministic
distributed
networks.
With
development
5G
network
technology,
features
high
bandwidth,
low
latency,
reliability
provide
new
approach
for
optimization.
To
take
advantage
network,
this
paper
proposes
5G-PBFT,
which
an
improved
practical
with
three
ways
improve
PBFT.
Firstly,
5G-PBFT
constructed
reputation
model
based
on
node
behavior.
dynamically
selected
nodes
value
ensure
selection.
Next,
primary
using
verifiable
random
function,
giving
consideration
randomness
selection
process.
Finally,
we
latency
feature
omit
submission
stage
reduce
communication
complexity
from
ON2
ON,
where
N
denotes
number
nodes.
simulation
results
show
that
achieves
26%
increase
throughput
63.6%
reduction
transaction
compared
PBFT,
demonstrating
significant
improvements.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(2), P. 337 - 337
Published: Jan. 5, 2024
Reconfigurable
intelligent
surfaces
(RIS)
are
expected
to
bring
about
a
revolutionary
transformation
in
vehicular
networks,
thus
paving
the
way
for
future
characterized
by
connected
and
automated
vehicles
(CAV).
An
RIS
is
planar
structure
comprising
many
passive
elements
that
can
dynamically
manipulate
electromagnetic
waves
enhance
wireless
communication
reflecting,
refracting,
focusing
signals
programmable
manner.
exhibits
substantial
potential
improving
vehicle-to-everything
(V2X)
through
various
means,
including
coverage
enhancement,
interference
mitigation,
signal
strength,
providing
additional
layers
of
privacy
security.
This
article
presents
comprehensive
survey
explores
emerging
opportunities
arising
from
integration
into
networks.
To
examine
convergence
V2X
communications,
adopted
holistic
approach,
highlighting
benefits
challenges
this
combination.
In
study,
we
examined
several
applications
RIS-aided
communication.
Subsequently,
delve
fundamental
technologies
empower
encompassing
mobile
edge
computing
(MEC),
non-orthogonal
multiple
access
(NOMA),
millimeter-wave
(mmWave),
Artificial
Intelligence
(AI),
visible
light
(VLC).
Finally,
stimulate
further
research
domain,
emphasize
noteworthy
avenues
exploration.
Journal of Artificial Intelligence and Technology,
Journal Year:
2023,
Volume and Issue:
unknown
Published: March 18, 2023
ABSTRACT-
The
rise
of
the
internet
things
(IoT)
and
autonomous
systems
has
made
connecting
vehicles
more
critical.
Connected
can
create
diverse
communication
networks
that
improve
environment
offer
contemporary
applications.
With
advent
5G
networks,
vehicle-to-everything
(V2X)
are
expected
to
be
highly
intelligent,
reside
on
superfast,
reliable,
low-latency
connections.
Network
slicing,
Machine
Learning
(ML),
Deep
(DL)
related
network
automation
optimization
in
V2X
communication.
(ML/DL)
with
slicing
aims
optimize
performance,
reliability
network,
personalized
services,
reduced
costs,
scalability
enhance
overall
driving
experience.
These
advantages
ultimately
lead
a
safer
efficient
transportation
system.
However,
existing
Long-Term
Evolution
(LTE)
enabling
technologies
cannot
meet
such
dynamic
requirements
without
adding
higher
complexity
levels.
learning
algorithms
mitigate
levels,
which
instrumental
vehicular
systems.
This
study
review
based
proposed
taxonomy
describes
enablers
different
configuration
ML
algorithm
used
control
manage
slice.
also
reviews
various
research
works
established
through
enable
use
cases,
focusing
considering
management.
enabler
considered
light
requirements,
particular
configurations,
underlying
methods
algorithms,
some
critical
challenges
possible
solutions
available.
paper
concludes
future
roadmap
by
discussing
open
issues
directions.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(5), P. 1405 - 1405
Published: Feb. 22, 2024
This
study
presents
a
theoretical
framework
for
defining
the
performance
level
of
wireless
safety
functions
within
industrial
environments.
While
acknowledging
simplifications
inherent
in
our
approach—primarily
based
on
packet
loss
rates
as
measure
system
performance—the
underscores
dynamic
challenges
posed
by
real-world
warehouses.
Through
an
situ
measurement
forklift
truck
system,
we
validate
proposed
method
and
emphasize
need
more
nuanced
examination
communication
complex
settings.
The
advocates
expanded
that
considers
fluctuations
warehouse
dynamics,
accounting
their
impact
and,
consequently,
precision
performance-level
assessments.
Furthermore,
research
highlights
complexity
introduced
characteristics
not
addressed
simplified
model,
urging
future
investigations
to
incorporate
these
factors
comprehensive
understanding
systems.
absence
specific
criteria
systems
existing
standards
emphasizes
necessity
specialized
addressing
aspects
unique
applications.
Journal of Location Based Services,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 21
Published: Jan. 5, 2025
The
numbers
of
cycling
fatalities
and
serious
injuries
remain
too
high
to
meet
the
targets
set
by
European
Commission
with
Road
Safety
Framework
2021.
Cooperative
intelligent
transport
systems
are
one
possible
solution,
enabling
exchange
safety
critical
information
between
vehicles,
vulnerable
road
users,
infrastructure
prevent
accidents
increase
safety.
aim
this
work
is
actively
integrate
bicyclists
in
vehicle-to-everything
communication,
profit
from
collective
perception
test
it
a
proof-of-concept
prototype.
This
approach
incorporates
location
users
captured
connected
automated
vehicle
video
detection
system
at
roadside.
communication
based
on
standardized
messages
that
exchanged
via
vehicular
standard
(ITS-G5)
cellular
networks.
A
central
cloud-based
processing
service
calculates
collision
risks
using
an
infrastructure-based
high-definition-maps
sending
out
warning
messages.
prototype
was
evaluated
real-world
experiments
urban
rural
environments,
successfully
demonstrating
technical
roundtrip
flow
self-localization
up
receiving
warning.
Results
show
precise
as
well
low
latency
stable
map
matching
crucial
prerequisites
for
applications.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 251 - 270
Published: April 4, 2025
Vehicle
network
is
a
paradigm
that
presents
the
concept
of
connected
vehicle
with
increased
economy
and
safety
via
vehicle-to-Everything
(V2X)
communications.
Intelligent
transportation
systems
(ITS)
play
critical
role
in
managing
all
(CV)
technologies
on
road
worldwide.
Drivers
will
be
able
to
operate
automobiles
differently
future,
as
majority
integrated
into
autonomous
vehicles
linked
environment.
Remote
drivers
can
monitor
status,
such
location,
position,
speed,
improve
users.
The
advanced
driver
assistance
(ADAS)
technology
used
for
safe
movement
through
remote
improves
performance
by
detecting
obstacles
near
using
cameras
sensors.
Enhances
reduce
computation
delay,
optimize
user
experience,
costs.
Efficacy
enhanced
compromising
interpersonal
safety,
anti-harassment,
child
anti-social
behaviour,
well
reducing
collisions
injuries.