International Journal of Sensors Wireless Communications and Control,
Journal Year:
2024,
Volume and Issue:
14(2), P. 122 - 133
Published: Jan. 22, 2024
Background:
Wireless
Sensor
Networks
(WSNs)
have
emerged
as
a
crucial
technology
for
various
applications,
but
they
face
lot
of
challenges
relevant
to
limited
energy
resources,
delayed
communications,
and
complex
data
aggregation.
To
address
these
issues,
this
study
proposes
novel
approaches
called
GAN-based
Clustering
LSTM-based
Data
Aggregation
(GCLD)
that
aim
enhance
the
performance
WSNs.
Methods:
The
proposed
GCLD
method
enhances
Quality
Service
(QoS)
WSN
by
leveraging
capabilities
Generative
Adversarial
(GANs)
Long
Short-Term
Memory
(LSTM)
method.
GANs
are
employed
clustering,
where
generator
assigns
cluster
assignments
or
centroids,
discriminator
distinguishes
between
real
generated
assignments.
This
adversarial
learning
process
refines
clustering
results.
Subsequently,
LSTM
networks
used
aggregation,
capturing
temporal
dependencies
enabling
accurate
predictions.
Results:
evaluation
results
demonstrate
superior
in
terms
delay,
PDR,
consumption,
accuracy
than
existing
methods.
Conclusion:
Overall,
significance
advancing
WSNs
highlights
its
potential
impact
on
applications.
International Journal of Advanced Computer Science and Applications,
Journal Year:
2023,
Volume and Issue:
14(7)
Published: Jan. 1, 2023
The
Internet
of
Things
(IoT)
facilitates
intelligent
communication
and
real-time
data
collection
through
dynamic
networks.
IoT
technology
is
ideally
suited
to
meet
city
requirements
enable
remote
access.
Several
cloud-based
approaches
have
been
proposed
for
constrained
systems,
including
scalable
storage
effective
routing.
In
real-world
scenarios,
the
effectiveness
many
methods
wireless
networks
links
can
be
challenged
due
their
unpredictable
characteristics.
These
challenges
result
in
path
failures
increased
resource
utilization.
To
enhance
reliability
resilience
face
failures,
fault
tolerance
mechanisms
are
crucial.
Network
occur
various
reasons,
breakdown
nodes'
module,
node
caused
by
battery
drain,
changes
network
topology.
Addressing
these
issues
essential
ensure
continuous
reliable
operation
Fault-tolerant
routing
plays
a
critical
role
IoT-based
networks,
but
no
systematic
comprehensive
research
has
conducted
this
area.
Therefore,
paper
aims
fill
gap
reviewing
state-of-the-art
mechanisms.
An
analysis
practical
techniques
leads
recommendations
further
research.
International Journal of Advanced Computer Science and Applications,
Journal Year:
2023,
Volume and Issue:
14(9)
Published: Jan. 1, 2023
The
Internet
of
Things
(IoT)
has
emerged
as
a
transformative
technology,
enabling
various
devices
to
interconnect
and
generate
vast
amounts
data.
insights
contained
within
this
data
can
revolutionize
industries
improve
decision-making
processes.
heterogeneity,
scale,
complexity
IoT
pose
challenges
for
efficient
analysis
utilization.
In
paper,
the
field
science
is
explored
in
context,
focusing
on
critical
techniques,
applications,
vital
realizing
full
potential
This
paper
explores
distinctive
qualities
data,
including
its
volume,
velocity,
variety,
veracity,
are
examined,
their
impact
approaches
analyzed.
Additionally,
cutting-edge
methodologies
designed
such
preprocessing,
fusion,
machine
learning,
anomaly
detection,
discussed.
importance
scalable
distributed
processing
frameworks
handle
data's
large-scale
real-time
nature
highlighted.
Furthermore,
application
fields,
smart
cities,
healthcare,
agriculture,
industrial
IoT,
explored.
Finally,
areas
future
research
development
identified,
privacy
security
issues,
understanding
learning
models,
ethical
aspects
IoT.
International journal of Computer Networks & Communications,
Journal Year:
2024,
Volume and Issue:
16(2), P. 01 - 24
Published: March 29, 2024
.
IoT
networking
uses
real
items
as
stationary
or
mobile
nodes.
Mobile
nodes
complicate
networking.
Internet
of
Things
(IoT)
networks
have
a
lot
control
overhead
messages
because
devices
are
mobile.
These
signals
generated
by
the
constant
flow
data
such
device
identity,
geographical
positioning,
node
mobility,
configuration,
and
others.
Network
clustering
is
popular
communication
management
method.
Many
cluster-based
routing
methods
been
developed
to
address
system
restrictions.
Node
based
on
protocol,
may
be
used
cluster
all
network
according
predefined
criteria.
Each
will
Smart
Designated
Node.
SDN
efficient.
intelligent
remain
in
network.
The
design
spreads
these
signals.
This
paper
presents
an
responsive
approach
for
clustered
networks.
An
existing
method
builds
new
sub-area
topology.
Nodes
Clustering
Based
(NCIoT)
improves
message
transmission
between
any
two
facilitate
secure
reliable
interchange
healthcare
professionals
patients.
NCIoT
that
organizes
grouping
them
together
their
proximity.
It
also
picks
routes
involves
selecting
one
option
from
range
choices
preparing
likely
outcomes
problem
addressing
limitations
activities
primary
focus
during
review
process.
Predictive
inquiry
employs
process
analyzing
forecast
anticipate
future
events.
document
provides
explanation
compact
units.
Inquiry
Small
Packets
(PISP)
improved
its
backup
partnered
with
establish
information
table
each
node,
resulting
higher
performance.
Both
principal
secondary
roads
available
use.
simulation
findings
indicate
algorithms
outperform
CBR
protocols.
Enhancements
lead
substantial
78%
boost
In
addition,
end-to-end
latency
dropped
12.5%.
PISP
methodology
produces
5.9%
more
packets
compared
alternative
approaches.
constructed
evaluated
against
academic
ones.
International Journal of Advanced Computer Science and Applications,
Journal Year:
2024,
Volume and Issue:
15(7)
Published: Jan. 1, 2024
The
Internet
of
Things
(IoT)
constitutes
a
technological
evolution
capable
influencing
the
establishment
smart
cities
in
wide
range
fields,
including
transportation.
Intelligent
Transportation
Systems
(ITS)
represent
prominent
IoT-enabled
solution
designed
to
enhance
efficiency,
safety,
and
sustainability
transport
networks.
However,
integrating
IoT
with
ITS
introduces
significant
security
challenges
that
need
be
addressed
ensure
reliability
these
systems.
This
research
aims
critically
analyze
current
state
IoT-integrated
ITS,
identify
threats
vulnerabilities,
evaluate
existing
measures
propose
robust
solutions.
Utilizing
comprehensive
review
methodology
includes
literature
analysis
expert
interviews,
we
key
achievements
pinpoint
critical
gaps.
Our
findings
indicate
while
substantial
progress
has
been
made
securing
remain,
particularly
regarding
scalability,
interoperability,
real-time
data
processing.
study
proposes
enhanced
protocols
methods
mitigate
risks,
contributing
development
more
secure
resilient
ITS.
International Journal of Sensors Wireless Communications and Control,
Journal Year:
2024,
Volume and Issue:
14(2), P. 122 - 133
Published: Jan. 22, 2024
Background:
Wireless
Sensor
Networks
(WSNs)
have
emerged
as
a
crucial
technology
for
various
applications,
but
they
face
lot
of
challenges
relevant
to
limited
energy
resources,
delayed
communications,
and
complex
data
aggregation.
To
address
these
issues,
this
study
proposes
novel
approaches
called
GAN-based
Clustering
LSTM-based
Data
Aggregation
(GCLD)
that
aim
enhance
the
performance
WSNs.
Methods:
The
proposed
GCLD
method
enhances
Quality
Service
(QoS)
WSN
by
leveraging
capabilities
Generative
Adversarial
(GANs)
Long
Short-Term
Memory
(LSTM)
method.
GANs
are
employed
clustering,
where
generator
assigns
cluster
assignments
or
centroids,
discriminator
distinguishes
between
real
generated
assignments.
This
adversarial
learning
process
refines
clustering
results.
Subsequently,
LSTM
networks
used
aggregation,
capturing
temporal
dependencies
enabling
accurate
predictions.
Results:
evaluation
results
demonstrate
superior
in
terms
delay,
PDR,
consumption,
accuracy
than
existing
methods.
Conclusion:
Overall,
significance
advancing
WSNs
highlights
its
potential
impact
on
applications.
