Information,
Год журнала:
2023,
Номер
14(11), С. 592 - 592
Опубликована: Ноя. 1, 2023
Recently,
the
precise
location
of
sensor
nodes
has
emerged
as
a
significant
challenge
in
realm
Internet
Things
(IoT)
applications,
including
Wireless
Sensor
Networks
(WSNs).
The
accurate
determination
geographical
coordinates
for
detected
events
holds
pivotal
importance
these
applications.
Despite
DV-Hop
gaining
popularity
due
to
its
cost-effectiveness,
feasibility,
and
lack
additional
hardware
requirements,
it
remains
hindered
by
relatively
notable
localization
error.
To
overcome
this
limitation,
our
study
introduces
three
new
approaches
that
combine
with
Chicken
Swarm
Optimization
(CSO).
primary
objective
is
improve
precision
DV-Hop-based
approaches.
In
paper,
we
compare
efficiency
proposed
algorithms
other
existing
approaches,
several
based
on
Particle
(PSO),
while
considering
random
network
topologies.
simulation
results
validate
algorithms.
HW-DV-HopCSO
algorithm
achieves
considerable
improvement
positioning
accuracy
compared
those
models.
Radiation Protection Dosimetry,
Год журнала:
2024,
Номер
200(6), С. 598 - 616
Опубликована: Март 15, 2024
Abstract
This
study
reviews
recent
research
on
Radiofrequency
Electromagnetic
Field
(RF-EMF)
exposure
in
confined
environments,
focusing
methodologies
and
parameters.
Studies
typically
evaluate
RF-EMF
using
an
electric
field
specific
absorption
rate
but
fail
to
consider
temperature
rise
the
tissues
environments.
The
highlights
investigation
of
subterranean
environments
such
as
subways,
tunnels
mines.
Future
should
communication
devices
considering
surrounding
environment.
Such
studies
will
aid
understanding
risks
developing
effective
mitigation
strategies
protect
workers
general
public.
Wireless Communications and Mobile Computing,
Год журнала:
2022,
Номер
2022, С. 1 - 10
Опубликована: Июнь 10, 2022
Recent
improvements
in
communication
technology
have
undergone
a
significant
shift
over
the
last
two
decades,
with
state-of-the-art
equipment,
standards,
and
protocols
simplifying
lives
of
consumers
everywhere.
For
more
than
decade,
advancements
mostly
focused
on
increasing
speed
which
information
can
be
delivered
retrieved
from
anywhere
globe
at
any
time
day
or
night,
regardless
location.
Four-generation
(4G)
technologies,
already
been
developed
implemented,
are
used
to
offer
users
seamless
access
multimedia
content
transmission
rates
100
megabits
per
second
(Mbps).
It
is
becoming
vital
create
new
technologies
order
meet
growing
need
for
faster
as
well
variety
other
advanced
features.
5G
networks
just
recently
built
result
extensive
research
development.
This
has
resulted
gradual
replacement
existing
4G
services
networks,
capable
transmitting
such
audio-video
high
definition
images,
among
things,
data
gigabyte
range
higher
(up
several
gigabits
second).
Further
recent
development,
addition
Internet
Things
(IoT),
was
made
possible
by
future
technology,
Things-based
social
network.
Aspects
this
include
ability
connect
expanding
connectivity
all
physical
devices
that
use
common
commercial
industrial
available
Internet.
In
spite
this,
advancement
high-speed
effective
interaction
their
inputs
responses
via
may
through
networks.
generation
automation
systems
emerged
innovative
platforms
next
further
future.
M2M
utilised
efficiently
distribute
resources
if
machine
learning
(ML)
optimum
cell
clustering
applied
situation.
because
heterogeneity
ML
able
make
best
remaining
network
optimise
efficiency.
Over
years,
shortage
radio
frequency
spectrum
proven
most
challenging
hindrance
wireless
communication.
occurred
large
number
high-frequency
amounts
bandwidth
allowance.
Cognitive
designed
demand
increased
demand.
Information,
Год журнала:
2023,
Номер
14(11), С. 592 - 592
Опубликована: Ноя. 1, 2023
Recently,
the
precise
location
of
sensor
nodes
has
emerged
as
a
significant
challenge
in
realm
Internet
Things
(IoT)
applications,
including
Wireless
Sensor
Networks
(WSNs).
The
accurate
determination
geographical
coordinates
for
detected
events
holds
pivotal
importance
these
applications.
Despite
DV-Hop
gaining
popularity
due
to
its
cost-effectiveness,
feasibility,
and
lack
additional
hardware
requirements,
it
remains
hindered
by
relatively
notable
localization
error.
To
overcome
this
limitation,
our
study
introduces
three
new
approaches
that
combine
with
Chicken
Swarm
Optimization
(CSO).
primary
objective
is
improve
precision
DV-Hop-based
approaches.
In
paper,
we
compare
efficiency
proposed
algorithms
other
existing
approaches,
several
based
on
Particle
(PSO),
while
considering
random
network
topologies.
simulation
results
validate
algorithms.
HW-DV-HopCSO
algorithm
achieves
considerable
improvement
positioning
accuracy
compared
those
models.
