EURASIP Journal on Wireless Communications and Networking,
Journal Year:
2024,
Volume and Issue:
2024(1)
Published: Dec. 18, 2024
Underwater
wireless
sensor
networks
(UWSNs)
face
significant
challenges,
such
as
limited
energy
resources,
high
propagation
delays,
and
harsh
underwater
environments.
Efficient
clustering
can
help
address
these
challenges
by
grouping
nearby
nodes
to
minimize
network
fragmentation
balance
consumption.
However,
placing
gateways
near
the
sink
node
result
in
increased
communication
overhead
higher
consumption
regions
with
concentrated
data
flow.
To
issues,
we
propose
an
energy-efficient
artificial
fish
swarm-based
cognitive
intelligence
protocol
(EAFSCCIP).
EAFSCCIP
leverages
collective
behavior
of
within
a
Bees
algorithm
framework,
using
combination
heuristic
metaheuristic
approaches
for
optimal
cluster-head
(CH)
selection
each
round.
The
focuses
on
reducing
extending
lifetime
considering
real-time
levels
proximity
CH
selection.
Simulations
have
been
executed
NS3
validate
compare
performance
proposed
existing
protocols.
results
indicate
that
significantly
enhances
packet
delivery
ratio
(PDR)
average
5.33%
over
methods
improves
6.54%
compared
traditional
It
also
reduces
25.6%
decreases
loss
50.5%,
while
achieving
20.4%
throughput
at
initial
stage.
These
improvements
make
promising
solution
applications
like
acoustic
monitoring
UWSNs,
providing
between
efficiency
reliable
transmission.
Underwater
wireless
sensor
networks
(UWSNs)
represent
a
specialized
category
of
WSNs
with
versatile
applications
including
acoustic
monitoring,
oil
and
gas
exploration,
military
surveillance.
UWSNs
face
formidable
challenges
such
as
limited
energy
resources,
extended
propagation
delays,
harsh
conditions.
Existing
clustering
multi-hop
routing
protocols
often
unevenly
distribute
nodes
geographically,
causing
network
fragmentation
disproportionately
draining
the
battery
life
near
sink
due
to
higher
data
transmission
demands.
In
this
paper,
we
introduce
an
Energy-efficient
Artificial
Fish
Swarm-based
Clustering
Protocol
(EAFSCP),
inspired
by
collective
behavior
fish
swarms.
EAFSCP
is
decentralized
algorithm
designed
for
monitoring
in
UWSNs.
Its
nature
makes
it
particularly
well-suited
large-scale
UWSNs,
where
centralized
algorithms
may
not
be
feasible.
Through
comprehensive
comparisons
existing
cluster-based
protocols,
our
findings
indicate
that
consistently
outperforms
them
across
multiple
key
performance
metrics,
lifetime,
consumption,
packet
delivery
ratio,
loss
rate,
throughput.
According
results,
represents
effective
enhances
performance,
prolongs
lifespan
reducing
promotes
scalability,
provides
valuable
guidance
emergency
response
efforts.
Wireless Networks,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 17, 2024
Abstract
In
this
paper,
we
exploit
the
spatial
and
transmission
diversities
in
cooperative
non-orthogonal
multiple
access
(C-NOMA)
networks
to
improve
system
sum-rate.
To
achieve
this,
propose
a
user-pairing
scheme
where
near-field
user
pairs
serve
as
relays
for
far-field
region.
Based
on
pairing
scheme,
incorporate
space-time
block
code
technique
at
maximize
diversity
phase.
Moreover,
consider
non-linear
energy
harvesting
model
pair
alleviate
problem
of
consumption
during
Further
formulate
sum-rate
maximization
that
is
addressed
from
viewpoint
joint
power
allocation
factor
splitting
ratio
optimization.
We
develop
low-computational
iterative
algorithm
based
concepts
Stackelberg
game
Nash
bargaining
solution.
benchmark
our
findings
with
different
scenarios,
such
C-NOMA
fixed
ratio,
without
STBC,
non-cooperative
NOMA,
orthogonal
access.
The
results
obtained
via
simulations
outperform
schemes.
Electronics,
Journal Year:
2023,
Volume and Issue:
12(20), P. 4304 - 4304
Published: Oct. 18, 2023
Energy
prediction
plays
a
significant
role
in
energy-harvesting
wireless
sensors
(EHWS),
as
it
helps
regulate
their
duty
cycles,
achieve
energy
neutrality,
and
extend
lifespan.
To
explore
analyze
advanced
technologies
methods
regarding
for
EHWS,
this
study
identifies
future
research
directions
addresses
the
challenges
faced
based
on
current
status,
assisting
with
literature
research.
This
scholarly
inquiry
delineates
prospects
prevailing
within
context
of
extant
landscape,
thereby
facilitating
prospective
endeavors.
employed
systematic
mapping
(SMS)
approach
to
screen
further
investigate
relevant
literature.
After
searching
screening
papers
from
ACM,
IEEE
Xplore,
Web
Science
(WOS)
databases
January
2007
December
2022,
98
met
requirements
study.
Subsequently,
SMS
was
conducted
five
questions.
The
results
showed
that
solution
proposal
type
category
had
largest
proportion
among
all
types,
accounting
58%
total
number,
indicating
focusing
field
is
placed
improving
existing
or
proposing
new
ones.
Additionally,
analysis,
provides
review
technical
utilization
improvement
approaches,
well
strengths
limitations
selected
methods.
Furthermore,
by
considering
paper
suggests
directions,
offering
valuable
insights
researchers
making
informed
decisions
chosen
paths.
significance
lies
its
contribution
driving
advancements
sensor
networks.
importance
underscored
advancing
domain
networks,
serving
touchstone
forthcoming
specialized
field.
