PeerJ Computer Science,
Год журнала:
2024,
Номер
10, С. e2407 - e2407
Опубликована: Ноя. 27, 2024
Wireless
Sensor
Networks
(WSNs)
have
paved
the
way
for
a
wide
array
of
applications,
forming
backbone
systems
like
smart
cities.
These
support
various
functions,
including
healthcare,
environmental
monitoring,
traffic
management,
and
infrastructure
monitoring.
WSNs
consist
multiple
interconnected
sensor
nodes
base
station,
creating
network
whose
performance
is
heavily
influenced
by
placement
nodes.
Proper
deployment
crucial
as
it
maximizes
coverage
minimizes
unnecessary
energy
consumption.
Ensuring
effective
node
optimal
efficiency
remains
significant
research
gap
in
WSNs.
This
review
article
focuses
on
optimization
strategies
WSN
deployment,
addressing
key
questions
related
to
maximization
energy-efficient
algorithms.
A
common
limitation
existing
single-objective
algorithms
their
focus
optimizing
either
or
efficiency,
but
not
both.
To
address
this,
explores
dual-objective
approach,
formulated
maximizing
Max
∑(i
=
1)
^
N
C
i
minimizing
consumption
Min
E
nodes,
balance
both
objectives.
The
analyses
recent
evaluates
performance,
provides
comprehensive
comparative
analysis,
offering
directions
future
making
unique
contribution
literature.
Intelligent Decision Technologies,
Год журнала:
2024,
Номер
18(2), С. 981 - 1000
Опубликована: Май 24, 2024
In
the
context
of
fifth
generation
(5G)
technology,
Device-to-Device
(D2D)
communication
plays
a
pivotal
role,
requiring
swift
and
intelligent
decision-making
in
mode
selection
device
discovery.
This
study
addresses
challenge
rapid
discovery
within
5G
networks,
focusing
specifically
on
enhancing
spectral
energy
efficiency
for
Internet
Things
(IoT)
applications.
A
novel
self-centered
game
theory-based
algorithm
is
introduced
to
optimize
support
selection.
Additionally,
utilization
vector
machine
(SVM)
expedites
decisions.
For
D2D
discovery,
Frank-Wolfe
method
adopted,
significantly
improving
differentiation
between
Cellular
users
based
signal
strength
interference,
thereby
efficiency.
The
proposed
approach
maximizes
while
adhering
strict
power
interference
constraints,
intelligently
partitioning
bandwidth
into
two
subparts
using
theoretic
principles
amplify
Furthermore,
emphasis
underscored
through
iterative
calculations
achieve
maximum
energy-efficient
allocation.
Numerical
analyses
validate
efficacy
technique,
revealing
substantial
improvements
accurately
predicted
labels.
As
number
devices
increases,
precision
recall
rates
experience
noteworthy
enhancements,
ultimately
leading
superior
utilization.
research
presents
significant
contribution
field
communication,
particularly
concerning
efficiency,
which
paramount
IoT
By
accelerating
connectivity
optimizing
spectrum
resources,
it
advances
goals
5G-IoT
networks.
International Journal of Computing and Digital Systems,
Год журнала:
2024,
Номер
15(1), С. 1201 - 1212
Опубликована: Май 29, 2024
Wireless
Sensor
Networks
(WSNs)
stand
as
a
vital
component
in
contemporary
wireless
technology.The
endurance
of
nodes
within
WSNs
significantly
influences
system
efficiency.This
study
delves
into
five
energy
management
and
node
longevity
strategies:
Low
Energy
Adaptive
Clustering
Hierarchy
(LEACH),
LEACH-C,
TS-I-LEACH,
LEACH-Enh-DVHOP,
an
original
method
proposed
herein.Graphical
analysis
underscores
the
marked
enhancement
sustaining
active
over
rounds,
notably
initial
phases
compared
to
other
methods.A
pivotal
innovation
lies
employing
angular
area-based
routing,
augmenting
resource
allocation
efficiency.Moreover,
introduces
node's
probability
serve
Cluster
Head
(CH),
leveraging
refined
threshold
formula
"T
A(i),"
contingent
on
its
distance
from
base
station
midpoint
represented
zone,
denoted
by
"δ(i)".This
approach
offers
novel
means
bolster
while
optimizing
usage.Furthermore,
evaluates
time
required
reach
point
where
all
are
depleted
energy,
referred
"All
Node
Die"
metric,
against
number
rounds
(r).LEACH-Enh-DVHOP
(the
previous
study)
exhibits
63.14%
increase
efficiency
LEACH
Original,
this
study,
Proposed
(This
Paper)
demonstrates
3.10%
improvement
LEACH-Enh-DVHOP.Additionally,
Quality
Service
(QoS)
is
observed.The
packet
delivery
ratio
increases
200%
Original
for
LEACH-Enh-DVHOP
383.3%
(previous
study).The
study's
outcomes
poised
advance
WSN
technology
future
significantly,
redefining
paradigms
enriching
sustainability
networks.
PeerJ Computer Science,
Год журнала:
2024,
Номер
10, С. e2407 - e2407
Опубликована: Ноя. 27, 2024
Wireless
Sensor
Networks
(WSNs)
have
paved
the
way
for
a
wide
array
of
applications,
forming
backbone
systems
like
smart
cities.
These
support
various
functions,
including
healthcare,
environmental
monitoring,
traffic
management,
and
infrastructure
monitoring.
WSNs
consist
multiple
interconnected
sensor
nodes
base
station,
creating
network
whose
performance
is
heavily
influenced
by
placement
nodes.
Proper
deployment
crucial
as
it
maximizes
coverage
minimizes
unnecessary
energy
consumption.
Ensuring
effective
node
optimal
efficiency
remains
significant
research
gap
in
WSNs.
This
review
article
focuses
on
optimization
strategies
WSN
deployment,
addressing
key
questions
related
to
maximization
energy-efficient
algorithms.
A
common
limitation
existing
single-objective
algorithms
their
focus
optimizing
either
or
efficiency,
but
not
both.
To
address
this,
explores
dual-objective
approach,
formulated
maximizing
Max
∑(i
=
1)
^
N
C
i
minimizing
consumption
Min
E
nodes,
balance
both
objectives.
The
analyses
recent
evaluates
performance,
provides
comprehensive
comparative
analysis,
offering
directions
future
making
unique
contribution
literature.
