International Journal of Smart and Nano Materials,
Год журнала:
2024,
Номер
15(2), С. 365 - 386
Опубликована: Апрель 2, 2024
This
paper
systematically
investigates
the
effective
parameter
on
performance
of
polydimethylsiloxane/graphene
(PDMS@Gr)-based
triboelectric
nanogenerators
(TENGs)
as
well
their
applications.
PDMS@Gr
films
containing
0,
0.05,
0.5,
1,
and
1.5
wt.%
graphene
are
synthesized,
surface
characteristics,
mechanical
behavior,
electrical
properties
characterized.
Vertical
contact-separation
mode
TENGs
fabricated,
is
evaluated.
The
results
demonstrate
that
roughness
charge
density
most
critical
parameters
for
PDMS@Gr-based
compared
to
friction
layers.
TENG
with
1
shows
highest
power
output
2.6
W/m2
at
an
optimized
working
condition
(5
Hz
15
N).
It
also
exhibits
stable
until
15,000
cycles
displays
battery-free
applications
by
powering
a
light-emitting
diode
(LED)
array,
calculator,
digital
watch,
thermometer.
Sensors,
Год журнала:
2024,
Номер
24(5), С. 1353 - 1353
Опубликована: Фев. 20, 2024
In
this
paper,
we
propose
an
improved
clustering
algorithm
for
wireless
sensor
networks
(WSNs)
that
aims
to
increase
network
lifetime
and
efficiency.
We
introduce
enhanced
fuzzy
spider
monkey
optimization
technique
a
hidden
Markov
model-based
selecting
cluster
heads.
Our
approach
considers
factors
such
as
head
energy,
density,
position.
also
enhance
the
energy-efficient
routing
strategy
connecting
heads
base
station.
Additionally,
polling
control
method
improve
performance
while
maintaining
energy
efficiency
during
steady
transmission
periods.
Simulation
results
demonstrate
1.2%
improvement
in
using
our
proposed
model.
