High-Performance Data Throughput Analysis in Wireless Ad Hoc Networks for Smart Vehicle Interconnection
Computers,
Год журнала:
2025,
Номер
14(2), С. 56 - 56
Опубликована: Фев. 10, 2025
Vehicular
Ad
Hoc
Networks
play
a
crucial
role
in
enabling
Smart
City
applications
by
facilitating
seamless
communication
between
vehicles
and
infrastructure.
This
study
evaluates
the
throughput
performance
of
different
routing
protocols,
specifically
AODV,
AODV:TOM,
AODV:DEM,
GPSR,
GPSR:TOM,
GPSR:DEM,
under
various
city
highway
scenarios
complex
networks.
The
analysis
covers
key
parameters
including
traffic
generation,
packet
sizes,
mobility
speeds,
pause
times.
Results
indicate
that
TOM
DEM
profiles
significantly
improve
compared
to
traditional
AODV
GPSR
protocols.
GPSR:TOM
achieves
highest
across
most
scenarios,
making
it
promising
solution
for
high-performance
data
transmission
Cities.
For
instance,
an
average
3.2
Mbps
2.8
while
increases
3.6
Mbps.
Additionally,
AODV:DEM
records
3.4
high
outperforming
AODV:TOM
at
3.1
baseline
2.7
findings
highlight
importance
optimizing
ensure
reliability
efficiency
vehicle
interconnection
systems,
which
are
critical
management,
accident
prevention,
real-time
smart
urban
environments.
Язык: Английский
Artificial Intelligence, Machine Learning and Deep Learning in Advanced Transportation Systems, A Review
Multimodal Transportation,
Год журнала:
2025,
Номер
unknown, С. 100242 - 100242
Опубликована: Май 1, 2025
Язык: Английский
Internet of Vehicles for Sustainable Smart Cities
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 35 - 68
Опубликована: Май 28, 2025
The
Internet
of
Vehicles
(IoV)
is
revolutionizing
urban
mobility
by
enabling
intelligent
transportation
systems,
enhancing
road
safety,
optimizing
traffic
flow,
and
reducing
environmental
impacts.
This
chapter
explores
the
role
IoV
in
development
sustainable
smart
cities,
focusing
on
its
integration
with
key
technologies
such
as
5G,
AI,
IoT,
edge
computing.
It
provides
insights
into
IoV's
contributions
to
green
mobility,
management,
energy
efficiency,
alongside
discussing
challenges,
security
concerns,
policy
implications
that
must
be
addressed
for
widespread
implementation.
concludes
highlighting
emerging
trends
future
research
directions.
Язык: Английский
Adaptive Control Strategies for Renewable Energy-Based Electric Vehicle Infrastructure in the Internet of Vehicles Ecosystem
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 161 - 204
Опубликована: Май 28, 2025
Integrating
Renewable
Energy
Sources
with
the
Internet
of
Vehicles
(IoV)
offers
a
smart
and
sustainable
approach
to
future
transportation.
As
electric
vehicle
(EV)
adoption
grows,
adaptive
controllers
are
needed
manage
renewable
energy
effectively
maintain
grid
stability.
This
chapter
presents
control
strategies
such
as
Adaptive
Voltage
Control
(AVC)
Load
Current
Observer
(LCO)
improve
Vehicle-to-Grid
(V2G)
Grid-to-Vehicle
(G2V)
operations.
These
techniques
enhance
voltage
regulation,
dynamic
response,
reduce
Total
Harmonic
Distortion
(THD),
particularly
when
used
Perturb
&
Observe
(P&O)
Maximum
Power
Point
Tracking
Space
Vector
Modulation
(SVM).
Simulation
results
practical
insights
discussed
for
solar-powered
EV
charging
systems,
energy-efficient
networks,
stations.
The
study
concludes
that
systems
essential
improving
power
quality,
enabling
real-time
management,
integrating
clean
into
IoV
ecosystem.
Язык: Английский
Exploring the Next Frontier in Wireless Communication: 5G and Beyond for Enhanced Reliability and Low Latency in IoT and Autonomous Technologies
Nanotechnology Perceptions,
Год журнала:
2024,
Номер
unknown, С. 676 - 689
Опубликована: Дек. 1, 2024
This
research
focuses
on
how
5G
and
beyond
technologies
might
be
the
game
changers
in
reliability,
low
latency,
efficiency,
improvement
of
IoT
autonomous
systems,
such
as
electric
vehicles.
It
addresses
advancements
6G-based
communication
networks
integrated
with
machine
learning
edge
computing
to
enhance
vehicle
performance,
energy
management,
vehicle-to-infrastructure
(V2I)
communication.
Extensive
experimentation
conducted
greatly
led
discovery
important
improvements
response
time.
Latency
was
reduced
by
much
45
per
cent
when
compared
4G
networks,
this
meant
that
6G
enabled
potential
increases
up
60
over
data
throughput
reliability
high-density
environments.
In
addition
that,
AI
application
towards
predictive
maintenance
battery
optimization
an
increase
30
for
applications
intelligence
a
more
sustainable
EV
system.
The
results
further
reveal
promise
AI-based
security
ML-based
25%
reduction
network
vulnerabilities
traditional
protocols.
inform
transformative
capability
next
generations
fulfil
their
scope
remodelling
future
vehicles
systems.
Future
will
focus
overcoming
present
infrastructure
deficiencies
improving
algorithms
behind
real-time
decision-making
processes
support
scalable,
energy-efficient,
secure
ecosystems.
Язык: Английский