International Journal of Computer Networks And Applications,
Год журнала:
2023,
Номер
10(6), С. 964 - 964
Опубликована: Дек. 29, 2023
One
of
the
major
challenges
in
Mobile
Ad
Hoc
Networks
(MANETs)
is
achieving
Quality-of-Service
(QoS)
for
data
communication
using
multi-disjoint
routing
protocols.As
a
result,
Reliable
and
Stable
Topological
change
Adaptive
On-demand
Multipath
Distance
Vector
(RSTA-AOMDV)
protocol
has
been
designed
to
select
forwarding
nodes
based
on
node's
local
information.However,
this
did
not
consider
global
stability,
predicting
network
topology
high-speed
MANETs
was
difficult
due
random
movement
nodes.Therefore,
article
proposes
novel
choose
stable
optimal
routes
effective
transmission
MANETs.First,
an
Energy-conserved
Stability
Density-aware
QoS-enabled
Adaptable
Routing
(ESDQTMR)
developed
ensure
stability
from
source
target
by
considering
both
factors.Stable
Betweenness
Centrality
(SBC)
transferring
packets
according
locality
dependency
energy
level
are
adopted
find
node.After
that,
Optimized
ESDQTMR
(OESDQTMR)
proposed,
which
uses
Golden
Eagle
Optimization
(GEO)
algorithm
best
path
new
objective
function.Additionally,
fractional
calculus
considered
enhance
exploration
path.Finally,
extensive
simulation
findings
show
that
OESDQTMR
achieves
greater
performance
compared
other
protocols
under
varying
numbers
node
mobility.
Symmetry,
Год журнала:
2023,
Номер
15(2), С. 438 - 438
Опубликована: Фев. 7, 2023
Efficient
clustering
and
routing
is
a
main
challenge
in
wireless
sensor
network
(WSN).
To
achieve
better
quality-of-service
(QoS)
performance,
this
work
introduces
k-medoids
with
improved
artificial-bee-colony
(K-IABC)-based
energy-efficient
the
cross-layer-based
Harris-hawks-optimization-algorithm
(CL-HHO)
protocol
for
WSN.
overcome
power-asymmetry
problem
networks,
optimal-routing
solution
proposed.
The
goal
of
cross-layer
algorithms
to
decrease
network-transmission
delay
power
consumption.
This
algorithm
which
was
used
evaluate
select
effective
path
route
data
transfer
implemented
using
MATLAB,
results
were
compared
some
existing
techniques.
proposed
CL-HHO
performs
well
packet-loss
ratio
(PLR),
throughput,
end-to-end
(E2E),
jitter,
lifetime
(NLT)
buffer
occupancy.
These
are
then
validated
by
comparing
them
traditional
strategies
such
as
hierarchical
gathering
(HEED),
energy-efficient-clustering
(EECRP),
Grey
wolf
optimization
(GWO),
Ant-Lion
(CL-ALO).
Compared
HEED,
EECRP,
GWO,
CL-ALO
algorithms,
outperforms
them.
Drones,
Год журнала:
2023,
Номер
7(6), С. 387 - 387
Опубликована: Июнь 9, 2023
Since
unmanned
aerial
vehicles
(UAVs),
such
as
drones,
are
used
in
various
fields
due
to
their
high
utilization
and
agile
mobility,
technologies
deal
with
multiple
UAVs
becoming
more
important.
There
many
advantages
using
drones
a
swarm,
but,
at
the
same
time,
each
drone
requires
strong
connection
some
or
all
of
other
drones.
This
paper
presents
superior
approach
for
UAV
network’s
routing
system
without
wasting
memory
computing
power.
We
design
called
geolocation
ad
hoc
network
(GLAN)
information,
we
build
an
adaptive
GLAN
(AGLAN)
that
applies
reinforcement
learning
adapt
changing
environment.
Furthermore,
increase
speed
by
applying
pseudo-attention
function
existing
learning.
evaluate
proposed
against
traditional
algorithms.
Franklin Open,
Год журнала:
2024,
Номер
8, С. 100150 - 100150
Опубликована: Авг. 25, 2024
Providing
security
to
the
Mobile
Ad-hoc
Network
(MANET)
integrated
with
Internet
of
Things
(IoT)
is
one
most
challenging
and
demanding
tasks
in
improving
network
by
detecting
trust
nodes
path.
High
energy
consumption,
loss
data
packets,
routing
overheads
are
unsolvable
issues
existing
security-aware
methodologies.
Energy
Efficient
Routing
Establishment
(EERE)
scheme
invokes
hybrid
whale
positions
Flower
Pollination
Algorithm
(WP-FPA)
for
optimal
path
allocation
calculating
level
network.
In
addition,
ensure
network,
a
evaluation
factor
has
been
performed
estimate
value
each
participating
node
on
Aggregated
Packet
Control
Trust
Protocol
(APCTP)
.
Security
improved
mitigating
that
identified
it
eliminated
node's
neighboring
information.
The
performance
proposed
security-based
mechanisms
compared
metrics
such
as
average
residual
energy,
packet
delivery
ratio
(PDR),
delay,
lifetime.
EERE-APCTP
improve
80%
stipulated
mobility.
99%
lifetime
increased
265
milliseconds.
overhead
reduced
0.6%.
Index
Terms—
Whale
Positions
Integrated
(WP-FPA),
security,
(EERE),
Evaluation,
MANET
pollination
optimization,
Neighbor
feedback
behavior.
IET Communications,
Год журнала:
2025,
Номер
19(1)
Опубликована: Янв. 1, 2025
Abstract
Nowadays,
wireless
mesh
networks
(WMNs)
are
rapidly
spreading
around
the
world
due
to
their
competitive
advantages.
Beyond
this,
adaptability
is
evident
in
supporting
a
wide
range
of
applications:
from
powering
broadband
home
and
educational
programs
driving
healthcare
advancements,
simplifying
building
automation
systems,
assisting
expedited
rescue
operations,
even
serving
military
needs.
The
routing
within
WMNs
plays
pivotal
role
enhancing
reliability
optimizing
performance.
Notably,
can
consist
several
cascading
channels,
however,
literature
lacks
algorithms
based
on
concept
information
entropy
for
these
channels.
This
work
introduces
an
information‐entropy‐based
algorithm
specifically
designed
cascaded
channels
WMNs.
proposed
aims
enhance
bandwidth
by
constructing
routes
maximum
value
binary
channel.
builds
route
with
path
Furthermore,
this
study
validates
applicability
competitiveness
method
through
comparative
analysis
against
established
like
Dijkstra,
ACO,
OLSR,
AODV,
previous
authors.
This
systematic
review
paper
provides
a
comprehensive
analysis
of
recent
advancements
in
energy
optimization
techniques
for
Mobile
Ad-hoc
Networks
(MANETs).
MANETs
play
critical
role
modern
communication
systems,
enabling
dynamic
and
decentralized
networking
various
applications,
including
disaster
recovery,
military
operations,
remote
sensing.
However,
consumption
remains
significant
challenge
due
to
the
limited
power
resources
mobile
nodes,
directly
impacting
network
performance
lifespan.
In
years,
such
as
metaheuristic
algorithms,
adaptive
transmission
control,
machine
learning
models
have
shown
remarkable
potential
addressing
these
challenges
by
enhancing
efficiency
prolonging
lifetime.
reviews
current
trends
MANETs,
trust-aware
routing
protocols,
clustering
methods,
advanced
mobility
like
Gauss-Markov
model.
Additionally,
it
detailed
simulation
parameters
metrics
used
studies,
highlighting
their
applicability
limitations.
The
also
identifies
key
areas
future
research,
developing
lightweight
scalable
integrating
heterogeneous
technologies,
refining
traffic
more
realistic
simulations.
concludes
summarizing
findings
emphasizing
importance
continuous
innovation
strategies
enhance
sustainability
reliability
MANETs.
serves
valuable
resource
researchers
practitioners,
guiding
development
robust
efficient
solutions.