A Novel Hybrid Metaheuristic Method for Efficient Decentralized IoT Network Layouts
Internet of Things,
Год журнала:
2025,
Номер
unknown, С. 101612 - 101612
Опубликована: Апрель 1, 2025
Язык: Английский
Mitigating Dead Node Impact on Coverage and Connectivity in Wireless Sensor Networks Using a Hybrid Approach
ARO-The Scientific Journal of Koya University,
Год журнала:
2025,
Номер
13(1), С. 131 - 143
Опубликована: Апрель 17, 2025
Wireless
sensor
networks’
coverage
and
efficient
connectivity
are
pivotal
for
reliable
data
collection
communication.
However,
dead
nodes,
resulting
from
hardware
failure
or
power
depletion,
can
affect
connectivity,
leading
to
information
loss
degraded
performance.
Previous
research
in
the
same
context
indicates
need
further
investigation
achieve
optimal
trade-offs
network
resource
allocation.
This
introduces
a
hybrid
Artificial
Bee
Colony-Sequential
Re-connectivity
Coverage
Algorithm
(ABC-SRCA)
approach,
combining
ABC
algorithm
with
developed
SRCA.
The
adjusts
node
placement
maximize
minimize
holes,
while
SRCA
restores
by
reconnecting
when
nodes
fail.
approach
uses
probabilistic
selection
explore
various
solutions,
making
adaptive
diverse
scenarios.
simulation
outcomes
indicate
that
ABC-SRCA
method
enhances
accuracy
up
30%
compared
they
used
separately.
In
addition,
rate
of
error
detection
decreases
about
25%,
highlighting
method’s
effectiveness
dynamic
conditions.
also
surpasses
existing
methods,
including
Genetic
Algorithms
Sensing
Radius
Adaptive
Control
(SRACC),
achieving
level
98%
conserving
resources.
achieves
better
energy
consumption
than
Particle
Swarm
Optimization
(PSO)
PSO
Voronoi
Diagram
competent
SRACC.
provides
an
effective
solution
ensuring
operations,
supporting
successful
deployment
WSNs
applications.
Язык: Английский
Coverage and connectivity maximization for wireless sensor networks using improved chaotic grey wolf optimization
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Май 5, 2025
Язык: Английский
A multi-objective metaheuristic method for node placement in dynamic IoT environments
Discover Internet of Things,
Год журнала:
2025,
Номер
5(1)
Опубликована: Май 22, 2025
Язык: Английский
Differential Evolution and Neural Network-Based Approach to Optimize Coverage Area of Wireless Sensor Network
SN Computer Science,
Год журнала:
2025,
Номер
6(5)
Опубликована: Май 28, 2025
Язык: Английский
Particle Swarm Optimization for k-Coverage and 1-Connectivity in Wireless Sensor Networks
Electronics,
Год журнала:
2024,
Номер
13(23), С. 4841 - 4841
Опубликована: Дек. 8, 2024
Wireless
Sensor
Networks
are
used
in
an
ever-increasing
range
of
applications,
thanks
to
their
ability
monitor
and
transmit
data
related
ambient
conditions
almost
any
area
interest.
The
optimization
coverage
the
assurance
connectivity
fundamental
for
efficiency
consistency
Networks.
Optimal
guarantees
that
all
points
field
interest
monitored,
while
network
nodes
assures
gathered
reliably
transferred
among
base
station.
In
this
research
article,
a
novel
algorithm
based
on
Particle
Swarm
Optimization
is
proposed
ensure
objective
function
derived
from
energy
minimization
methodologies
commonly
applied
bounded
space
circle
packing
problems.
performance
not
only
evaluated
through
both
simulation
statistical
tests
demonstrate
efficacy
methodology
but
also
compared
against
relative
algorithms.
Finally,
concluding
remarks
drawn
potential
extensibility
actual
use
real-world
scenarios.
Язык: Английский