International Journal of Advanced Computer Science and Applications,
Journal Year:
2024,
Volume and Issue:
15(4)
Published: Jan. 1, 2024
To
address
the
issue
of
insufficient
real-time
capability
in
existing
Internet
search
engines
within
Things
environment,
this
research
investigates
architecture
systems.
It
proposes
a
data
dynamic
prediction
algorithm
tailored
for
process
entity
information
Things.
The
study
is
based
on
design
compression
using
Rotating
Gate
Compression
Algorithm.
employs
Least
Squares
Support
Vector
Machine
to
dynamically
predict
changes
node
states
Things,
aiming
reduce
sensor
resource
consumption
and
achieve
search.
Finally,
introduces
an
system
algorithm.
Performance
test
results
indicate
that
segmented
designed
can
enhance
accuracy
rate.
As
increases,
errors
also
correspondingly
increase.
shows
decrease
energy
as
reporting
cycles
increase,
reaching
0.2
at
5
cycles.
At
5-cycle
point,
two
datasets
are
0.5
7.8,
respectively.
optimized
effectively
reduces
transmission,
lowers
consumption,
accurately
predicts
state
meet
user
demands.
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 30247 - 30272
Published: Jan. 1, 2023
Over
the
past
few
years,
number
and
volume
of
data
sources
in
healthcare
databases
has
grown
exponentially.
Analyzing
these
voluminous
medical
is
both
opportunity
challenge
for
knowledge
discovery
health
informatics.
In
last
decade,
social
network
analysis
techniques
community
detection
algorithms
are
being
used
more
scientific
fields,
including
medicine.
While
have
been
widely
analysis,
a
comprehensive
review
its
applications
way
to
benefit
practitioners
informatics
still
overwhelmingly
missing.
This
paper
contributes
fill
this
gap
provide
up-to-date
literature
research.
Especially,
categorizations
existing
presented
discussed.
Moreover,
most
reviewed
categorized.
Finally,
publicly
available
datasets,
key
challenges,
gaps
field
studied
reviewed.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: Aug. 11, 2023
Today,
wireless
sensor
networks
(WSNs)
are
growing
rapidly
and
provide
a
lot
of
comfort
to
human
life.
Due
the
use
WSNs
in
various
areas,
like
health
care
battlefield,
security
is
an
important
concern
data
transfer
procedure
prevent
manipulation.
Trust
management
affective
scheme
solve
these
problems
by
building
trust
relationships
between
nodes.
In
this
paper,
cluster-based
trusted
routing
technique
using
fire
hawk
optimizer
called
CTRF
presented
improve
network
considering
limited
energy
nodes
WSNs.
It
includes
weighted
mechanism
(WTM)
designed
based
on
interactive
behavior
The
main
feature
consider
exponential
coefficients
for
parameters,
namely
reception
rate,
redundancy
state
so
that
level
exponentially
reduced
or
increased
their
hostile
friendly
behaviors.
Moreover,
proposed
approach
creates
optimizer-based
clustering
select
cluster
heads
from
candidate
set,
which
whose
remaining
levels
greater
than
average
all
nodes,
respectively.
method,
new
cost
function
four
objectives,
including
head
location,
energy,
distance
base
station,
size.
Finally,
decides
inter-cluster
paths
through
algorithm
uses
routes
transmit
station.
route
construction
process,
regards
parameters
such
as
route,
quality
reliability
number
hops.
runs
simulator
version
2
(NS2),
its
performance
compared
with
other
secure
approaches
regard
throughput,
packet
loss
latency,
detection
ratio,
accuracy.
This
evaluation
proves
superior
successful
methods.
International Journal of Communication Systems,
Journal Year:
2023,
Volume and Issue:
36(16)
Published: July 28, 2023
Summary
A
wireless
sensor
network
(WSN)
is
a
of
tiny
sensors
deployed
to
collect
data.
These
are
powered
with
batteries
that
have
limited
power.
Recharging
and/or
replacement
these
batteries,
however,
not
always
feasible.
Over
the
past
few
years,
WSN
applications
being
in
diverse
fields
such
as
military,
manufacturing,
healthcare,
agriculture,
and
so
on.
With
ever‐increasing
WSNs,
improving
energy
efficiency
WSNs
still
remains
be
challenge.
Applying
fuzzy
logic
problem
clustering
exploits
uncertainty
associated
factors
affect
lifetime
enables
development
models
would
improve
their
performance
real‐world
applications.
We
present
comprehensive
review
various
fuzzy‐based
techniques
for
whose
main
goal
optimize
usage
while
simultaneously
overall
performance.
International Journal of Mathematical Engineering and Management Sciences,
Journal Year:
2025,
Volume and Issue:
10(4), P. 797 - 855
Published: April 18, 2025
In
today's
era,
the
deployment
of
wearable
and
implantable
devices
sensor
nodes
is
expanding,
giving
rise
to
new
research
directions
in
Wireless
Body
Area
Networks
(WBANs)
address
various
challenges
such
as
efficient
routing,
security,
interoperability,
power
consumption,
energy
optimization,
fault-tolerance,
reliable
communication,
etc.
Among
all
challenges,
routing
one
most
important
factors
that
needs
consideration
for
data
transmission.
With
use
(on-body)
or
implanted
(in-body)
sensors,
WBANs
are
utilized
e-healthcare
systems
retrieve
physiological
parameters
from
human
body,
systematically
route
them
a
remote
server.
High
network
performance
effective
communication
depend
on
protocol's
design.
Consequently,
primary
objective
this
work
provide
comprehensive
taxonomy
advanced
protocols
used
WBANs.
This
review
paper
discusses
different
WBAN
recent
years,
reported
2019
2024.
The
categories
related
addressed
while
highlighting
their
objectives,
problem
specifications,
advantages,
disadvantages,
simulation
tools,
metrics.
These
evaluated
compared
terms
like
energy,
congestion
control,
priority,
scalability,
latency,
Packet
Delivery
Ratio
(PDR),
node
temperature,
lifetime,
throughput,
path
loss,
Finally,
gaps
summarized
reviewed
protocols,
future
aspects
discussed.
