The Role of 6G Technologies in Advancing Smart City Applications: Opportunities and Challenges
Sustainability,
Год журнала:
2024,
Номер
16(16), С. 7039 - 7039
Опубликована: Авг. 16, 2024
The
deployment
of
fifth-generation
(5G)
wireless
networks
has
already
laid
the
ground-work
for
futuristic
smart
cities
but
along
with
this,
it
also
triggered
rapid
growth
a
wide
range
applications,
example,
Internet
Everything
(IoE),
online
gaming,
extended/virtual
reality
(XR/VR),
telemedicine,
cloud
computing,
and
others,
which
require
ultra-low
latency,
ubiquitous
coverage,
higher
data
rates,
extreme
device
density,
ultra-high
capacity,
energy
efficiency,
better
reliability.
Moreover,
predicted
explosive
surge
in
mobile
traffic
until
2030
envisioned
potential
use-cases/scenarios
city
context
will
far
exceed
capabilities
5G
was
designed.
Therefore,
there
is
need
to
harness
6th
Generation
(6G)
capabilities,
not
only
meet
stringent
requirements
megacities
can
open
up
new
applications.
Other
crucial
concerns
that
be
addressed
are
related
network
security,
privacy,
interoperability,
digital
divide,
other
integration
issues.
In
this
article,
we
examine
current
emerging
trends
implementation
6G
arena.
Firstly,
give
an
inclusive
comprehensive
review
communication
technologies
find
use
cities.
discussion
each
technology
covers
its
benefits,
challenges
future
research
direction.
Secondly,
explore
promising
applications
these
technologies,
such
as,
grids,
healthcare,
waste
management,
etc.
conclusion
part,
have
highlighted
suggestions
possible
directions.
So,
single
paper,
attempted
provide
wider
perspective
on
6G-enabled
by
including
both
their
This
paper
help
readers
gain
holistic
view
ascertain
opportunities
bring
diverse,
massive
Язык: Английский
Entrepreneurial strategies for sustainable growth: a deep dive into cloud-native technology and its applications
Future Business Journal,
Год журнала:
2025,
Номер
11(1)
Опубликована: Фев. 5, 2025
Abstract
The
study
highlights
the
impact
of
cloud-native
technology
in
entrepreneurship
for
innovative
business
models,
scalability,
and
cost
efficiency
by
combining
trends
including
microservices,
serverless
computing,
disruptions.
attempts
to
examine
role
affects
entrepreneurial
landscape
creating
advancing
models
approaches,
difficulties
while
applying
technology.
systematic
literature
review
based
on
PRISMA
is
used
explore
its
applications
analyzing
selected
111
studies
from
Scopus,
Web
Science,
Dimensions,
ProQuest.
identified
that
one
main
forces
behind
disruption
quick
development
new
technologies
blockchain,
5G,
IoT,
quantum
AI.
Cloud-native
supports
such
as
SaaS,
managed
Kubernetes,
data
analytics
platforms,
BaaS,
Edge
Computing.
urgency
incorporate
develop
security
features
tools
measurement
necessary.
shows
startups
can
use
rely
subscription
services,
on-demand
cloud
services
which
are
providing
opportunities.
findings
highlight
need
entrepreneurs
utilize
emerging
meet
competition,
there
a
requirement
continuous
investment
analytics,
automation,
solutions,
technologies.
Collaboration
essential
application
early
stage
enterprises.
Incubators,
accelerators,
venture
capital
firms
support
adoption
disruptive
policymaker's
enterprises'
focus
actionable
intervention
necessary
developing
mechanisms
solve
barriers
regulatory
compliance,
lack
skilled
manpower,
security,
privacy
issues,
upfront
success.
Язык: Английский
Big Data Algorithm for Resource Potential Awareness Response Optimization on the Power User Side Based on IoT Edge Computing
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2025,
Номер
10(1)
Опубликована: Янв. 1, 2025
Abstract
With
the
rapid
development
of
Internet
Things
(IoT)
technology
and
riguidinguting,
power
system
is
undergoing
unprecedented
changes.
Traditional
management
mainly
relies
on
centralized
data
processing
mode,
which
makes
it
challenging
to
meet
demand
when
volume
increases
rapidly
real-time
requirements
are
high.
This
paper
proposes
a
big
algorithm
based
edge
computing
IoT,
aiming
at
perception
response
optimization
problem
resource
potential
user
side.
The
aims
improve
operational
efficiency
reliability
through
analysis
while
reducing
energy
consumption
cost.
combines
IoT
technology,
computing,
extensive
methods
collect
usage
in
by
deploying
intelligent
sensing
devices
side
conducting
preliminary
nodes.
uses
machine
learning
algorithms
deeply
analyze
data,
identify
user-side
resources,
automatically
adjust
strategy
according
results
achieve
optimal
allocation
resources.
By
setting
up
simulation
environment,
proposed
tested.
Experimental
show
that
can
effectively
resources
realize
dynamic
balance
optimizing
strategy.
In
comparative
experiments,
compared
with
traditional
methods,
this
reduce
about
20%
15%.
Язык: Английский
Revolutionizing Urban Congestion
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 1 - 16
Опубликована: Апрель 4, 2025
Traffic
congestion
is
a
major
problem
for
metropolitan
areas
globally,
affecting
efficiency,
liveability
of
environments,
and
welfare
the
travellers.
This
chapter
looks
at
how
smart
traffic
management
system
will
mitigate
these
problems
by
applying
Advanced
technologies
like;
Artificial
intelligence
(AI),
IoT,
Blockchain,
real-time
data
analytics.
These
provide
ability
analysis,
forecast,
flow
intelligent
signals,
dynamic
routing
effective
integration
autonomous
vehicles
into
urban
transport
systems.
considers
current
cases
systems
in
cities
such
as
Singapore
Amsterdam
where
they
have
proven
to
optimize
travel
time
improve
efficiency
public
In
terms
using
knowledge-based
systems,
it
has
significant
technical,
financial,
regulatory
constraints
when
comes
deployment
work
calls
formation
public-private
partnership,
partnership.
Язык: Английский
Blockchain-Based Solutions for Secure Vehicular Communications in VANETs
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 75 - 108
Опубликована: Апрель 24, 2025
VANETs
(Vehicular
Ad-hoc
Networks)
and
blockchain
technology
hold
promise
for
enhancing
urban
mobility
by
integrating
the
real-time
communication
capabilities
of
with
blockchain's
secure,
decentralized
nature;
cities
can
develop
smarter,
safer,
more
efficient
transportation
systems.
allow
smooth
data
exchange
between
vehicles
infrastructure,
but
secure
integrity
transparency
are
ensured
through
blockchain.
This
reduces
chances
cyberattacks
unauthorized
access.
Together,
these
technologies
present
a
strong
framework
optimizing
traffic
management,
providing
improved
road
safety
and,
thus,
efficiency
in
as
whole
vehicle.
Язык: Английский
Effectiveness of Traffic Management Unit in Ozamiz City as Perceived by the Stakeholders
Hargie M. Orong,
Kyle Mark A. Osmeña,
Shimriy L. Angcap
и другие.
Опубликована: Апрель 30, 2025
Traffic
management
is
a
crucial
aspect
of
urban
development,
ensuring
the
safe
and
efficient
movement
vehicles
pedestrians.
This
study
examines
level
perception
stakeholders
regarding
effectiveness
Management
Unit
(TMU)
in
Ozamiz
City.
Using
correlational
design
quantitative
approach,
research
evaluates
stakeholders’
awareness,
satisfaction,
overall
assessment
TMU's
functions,
including
traffic
regulation
enforcement,
congestion
mitigation,
road
safety
promotion.
Data
were
collected
primarily
through
surveys
involving
key
stakeholders,
such
as
motorists,
pedestrians,
local
business
owners,
government
officials.
The
findings
reveal
varying
levels
influenced
by
factors
communication
effectiveness,
enforcement
consistency,
stakeholder
engagement.
While
many
acknowledge
improvements
flow
safety,
some
expressed
concerns
about
gaps
policy
implementation
responsiveness
to
emerging
challenges.
Based
on
results,
recommendations
are
proposed
enhance
performance
strengthen
collaboration
with
community.
highlights
importance
feedback
creating
an
adaptive
effective
system.
Язык: Английский
Urban Transportation Data Research Overview: A Bibliometric Analysis Based on CiteSpace
Sustainability,
Год журнала:
2024,
Номер
16(22), С. 9615 - 9615
Опубликована: Ноя. 5, 2024
Urban
transportation
data
are
crucial
for
smart
city
development,
enhancing
traffic
management’s
intelligence,
accuracy,
and
efficiency.
This
paper
conducts
a
comprehensive
investigation
encompassing
policy
analysis,
literature
review,
concept
definition,
quantitative
analysis
using
CiteSpace
from
both
domestic
international
perspectives.
comprise
multiple
dimensions,
such
as
infrastructure
status,
real-time
monitoring,
planning,
environmental
assessment,
which
originate
various
sources
stakeholders.
Highly
influential
authors
active
institutions,
particularly
in
the
USA,
China,
Canada,
England,
contribute
significantly
to
extensive
collaborative
research.
Key
areas
include
intelligent
transportation,
flow
prediction,
fusion,
deep
learning.
Domestic
research
focuses
on
practical
applications,
while
studies
delve
into
interdisciplinary
areas.
With
advancements
systems
big
technology,
has
evolved
basic
collection
sophisticated
methodologies,
learning
spatiotemporal
driving
substantial
progress.
concludes
by
recommending
enhanced
integration,
improved
privacy
security,
fostering
AI
facilitating
formulation,
exploring
innovative
modes,
thereby
underscoring
importance
of
urban
shaping
future
cities.
The
findings
provide
theoretical
guidance
efficiency,
sustainability
systems.
Язык: Английский