Internet of Robotic Things: Current Technologies, Challenges, Applications, and Future Research Topics
Sensors,
Год журнала:
2025,
Номер
25(3), С. 765 - 765
Опубликована: Янв. 27, 2025
This
article
focuses
on
the
integration
of
Internet
Things
(IoT)
and
Robotic
Things,
representing
a
dynamic
research
area
with
significant
potential
for
industrial
applications.
The
(IoRT)
integrates
IoT
technologies
into
robotic
systems,
enhancing
their
efficiency
autonomy.
provides
an
overview
used
in
IoRT,
including
hardware
components,
communication
technologies,
cloud
services.
It
also
explores
IoRT
applications
industries
such
as
healthcare,
agriculture,
more.
discusses
challenges
future
directions,
data
security,
energy
efficiency,
ethical
issues.
goal
is
to
raise
awareness
importance
demonstrate
how
this
technology
can
bring
benefits
across
various
sectors.
Язык: Английский
A Literature Review on Security in the Internet of Things: Identifying and Analysing Critical Categories
Computers,
Год журнала:
2025,
Номер
14(2), С. 61 - 61
Опубликована: Фев. 11, 2025
With
the
proliferation
of
IoT-based
applications,
security
requirements
are
becoming
increasingly
stringent.
Given
diversity
such
systems,
selecting
most
appropriate
solutions
and
technologies
to
address
challenges
is
a
complex
activity.
This
paper
provides
an
exhaustive
evaluation
existing
related
IoT
domain,
analysing
studies
published
between
2021
2025.
review
explores
evolving
landscape
security,
identifying
key
focus
areas,
challenges,
proposed
as
presented
in
recent
research.
Through
this
analysis,
categorizes
efforts
into
six
main
areas:
emerging
(35.2%
studies),
securing
identity
management
(19.3%),
attack
detection
(17.9%),
data
protection
(8.3%),
communication
networking
(13.8%),
risk
(5.5%).
These
percentages
highlight
research
community’s
indicate
areas
requiring
further
investigation.
From
leveraging
machine
learning
blockchain
for
anomaly
real-time
threat
response
optimising
lightweight
algorithms
resource-limited
devices,
researchers
propose
innovative
adaptive
threats.
The
underscores
integration
advanced
enhance
system
while
also
highlighting
ongoing
challenges.
concludes
with
synthesis
threats
each
identified
category,
along
their
solutions,
aiming
support
decision-making
during
design
approach
applications
guide
future
toward
comprehensive
efficient
frameworks.
Язык: Английский
The Sustainability of Smart Cities: Improving Evaluation by Combining MCDA and PROMETHEE
Land,
Год журнала:
2024,
Номер
13(9), С. 1471 - 1471
Опубликована: Сен. 11, 2024
Evaluating
the
sustainability
of
smart
cities
is
crucial
for
promoting
sustainable
development.
Traditionally,
this
evaluation
process
has
traditionally
been
carried
out
using
Multi-Criteria
Decision
Analysis
approach.
However,
approach
relies
upon
a
unified
input
dataset,
which
can
lead
to
oversimplification,
particularly
in
context
sustainability.
Further,
does
not
take
account
how
evolves
over
time.
This
paper
introduces
time-based
assessment
technique
that
combines
with
an
established
method
assessing
performance
variability,
recognized
as
Preference
Ranking
Organization
Method
Enrichment
Evaluations.
The
resulting
framework,
called
Enhanced
Evaluations,
was
used
evaluate
and
communities
across
G20
countries,
based
on
aggregated
data,
individual
dimensions,
scenarios.
results
demonstrate
effectiveness,
relevance,
applicability
new
approach,
provides
significant
advance
field
city
by
facilitating
multi-period
evaluations
enabling
multi-perspective
assessments.
Язык: Английский
Remote Sensing and Geospatial Analysis in the Big Data Era: A Survey
Remote Sensing,
Год журнала:
2025,
Номер
17(3), С. 550 - 550
Опубликована: Фев. 6, 2025
The
present
survey
examines
the
role
of
big
data
analytics
in
advancing
remote
sensing
and
geospatial
analysis.
increasing
volume
complexity
are
driving
adoption
machine
learning
(ML)
artificial
intelligence
(AI)
techniques,
such
as
convolutional
neural
networks
(CNNs)
long
short-term
memory
(LSTM)
networks,
to
extract
meaningful
insights
from
large,
diverse
datasets.
These
AI
methods
enhance
accuracy
efficiency
spatial
temporal
analysis,
benefiting
applications
environmental
monitoring,
urban
planning,
disaster
management.
Despite
these
advancements,
challenges
related
computational
efficiency,
integration,
model
transparency
remain.
This
paper
also
discusses
emerging
trends
highlights
potential
hybrid
approaches,
cloud
computing,
edge
processing
overcoming
challenges.
integration
with
is
poised
significantly
improve
our
ability
monitor
manage
Earth
systems,
supporting
more
informed
sustainable
decision-making.
Язык: Английский
A Review of the Authentication Techniques for Internet of Things Devices in Smart Cities: Opportunities, Challenges, and Future Directions
Sensors,
Год журнала:
2025,
Номер
25(6), С. 1649 - 1649
Опубликована: Март 7, 2025
Smart
cities
have
witnessed
a
transformation
in
urban
living
through
the
Internet
of
Things
(IoT),
which
has
improved
connectedness,
efficiency,
and
sustainability.
However,
adoption
IoT
devices
presents
significant
security
vulnerabilities,
particularly
authentication.
The
specific
limitations
contexts,
such
as
constrained
computational
resources,
are
frequently
not
adequately
addressed
by
traditional
authentication
techniques.
existing
methods
used
for
smart
critically
examined
this
review
study.
We
evaluate
advantages
disadvantages
each
mechanism,
emphasizing
real-world
applicability.
Additionally,
we
examine
cutting-edge
developments
that
offer
scalability,
blockchain
technology,
biometric
authentication,
machine
learning-based
solutions.
This
study
aims
to
identify
gaps
propose
future
research
directions
develop
robust
frameworks
protect
user
privacy
data
integrity.
Язык: Английский
Blockchain as an Enabler of Generic Business Model Realization
Blockchains,
Год журнала:
2025,
Номер
3(1), С. 6 - 6
Опубликована: Март 11, 2025
The
paper
presents
business
models
(BMs)
for
blockchain-based
businesses.
is
a
study
of
IT-aligned
BMs
categorized
by
the
concepts
and
possibilities
blockchain
applications.
research
aimed
to
recognize
analyze
extent
directions
in
which
architectures
influence
means
conducting
A
set
almost
40,000
decentralized
applications
examined
justify
rationale
behind
presented
analysis.
This
an
argumentative
that
uses
design-oriented
approach,
as
it
suitable
addressing
real-world
problems,
like
analyzing
models,
while
ensuring
artifacts
are
created
evaluated
under
methodological
standards.
Firstly,
concept
model
analyzed.
Then,
theoretical
analysis
different
made
identify
ones
well
aligned
with
vision
obsolete
or
inoperative
from
business-conducting
perspective.
In
end,
outcome
applied
examples
existing
startups.
Fifteen
identified
7
sector
groups
recognized
55
cases
detected.
Язык: Английский
Machine Learning Based Localization of LoRa Mobile Wireless Nodes Using a Novel Sectorization Method
Future Internet,
Год журнала:
2024,
Номер
16(12), С. 450 - 450
Опубликована: Дек. 2, 2024
Indoor
localization
of
wireless
nodes
is
a
relevant
task
for
sensor
networks
with
mobile
using
robots.
Despite
the
fact
that
outdoor
successfully
performed
by
Global
Positioning
System
(GPS)
technology,
indoor
environments
face
several
challenges
due
to
multipath
signal
propagation,
reflections
from
walls
and
objects,
along
noise
interference.
This
results
in
need
development
new
techniques.
In
this
paper,
Long-Range
Wide-Area
Network
(LoRaWAN)
technology
employed
address
problems.
A
novel
approach
proposed,
based
on
preliminary
division
room
into
sectors
Received
Signal
Strength
Indicator
(RSSI)
fingerprinting
technique
combined
machine
learning
(ML).
Among
various
ML
methods,
Gated
Recurrent
Unit
(GRU)
model
reached
most
accurate
results,
achieving
accuracies
94.54%,
91.02%,
85.12%
across
three
scenarios
256
sectors.
Analysis
cumulative
error
distribution
function
revealed
average
0.384
m,
while
mean
absolute
0.246
m.
These
demonstrate
proposed
sectorization
method
effectively
mitigates
effects
nonlinear
ensuring
precise
indoors.
Язык: Английский