International Journal of Advanced Computer Science and Applications,
Journal Year:
2023,
Volume and Issue:
14(4)
Published: Jan. 1, 2023
Underwater
Wireless
Sensor
Networks
(UWSNs)
have
a
wide
range
of
applications
for
monitoring
the
ocean
and
exploring
offshore
environment.
nodes
are
typically
dispersed
throughout
area
interest
at
different
depths
in
these
networks.
on
seabed
must
use
routing
protocol
order
to
communicate
with
surface-level
nodes.
The
suitability
assessment
considers
network
resources,
application
requirements,
environmental
factors.
By
combining
factors,
platform
resource-aware
strategies
can
be
created
that
meet
needs
dynamic
environments.
Numerous
challenges
problems
associated
UWSNs,
including
lack
battery
power,
instability
topologies,
limited
bandwidth,
long
propagation
times,
interference
from
ocean.
These
addressed
through
design
protocols.
facilitates
transfer
data
between
source
destination
Data
aggregation
UWSN
protocols
widely
used
achieve
better
outcomes.
This
paper
describes
an
energy-aware
algorithm
UWSNs
uses
improved
ACO
(Ant
Colony
Optimization)
maximize
packet
delivery
ratio,
improve
lifetime,
decrease
end-to-end
delay,
less
energy.
International Journal of Communication Systems,
Journal Year:
2021,
Volume and Issue:
35(3)
Published: Nov. 3, 2021
Summary
With
the
quick
progress
of
wireless
technologies,
Internet
Things
(IoT)
has
been
recognized
as
main
part
daily
people's
lives
that
makes
their
life
more
convenient
by
utilizing
a
diverse
range
smart
devices.
Over
last
decade,
various
useful
and
forthcoming
application
fields
have
developed
taking
advantage
IoT
concept.
In
this
regard,
LPWAN
technologies
such
LoRa,
Sigfox,
NB‐IoT
play
an
important
role
in
advancing.
These
are
suitable
communication
protocols
for
battery‐powered
objects
enable
long‐distance
low‐power
devices
at
low
operation
cost.
Some
review
papers
investigated
technology
from
different
perspectives.
However,
lack
detailed
systematic
study
outlining
these
applications
is
very
clear.
Consequently,
gap
inspired
us
to
write
current
study.
The
works
classified
into
three
classes,
including
city,
home
automation,
healthcare.
Besides,
involved
models
city
group
categorized
five
subgroups,
monitoring,
metering,
air
pollution,
agriculture,
parking.
selected
reviewed,
features,
idea,
coverage
range,
sensor
types,
processing
board,
frequency
band,
protocols,
power
consumption
analysis,
achievement,
specified.
Generally,
our
aim
describe
challenging
problems
applying
applications,
specify
efficient
models,
recommend
some
hints
upcoming
studies.
International Journal of Advanced Computer Science and Applications,
Journal Year:
2024,
Volume and Issue:
15(6)
Published: Jan. 1, 2024
Cloud
Manufacturing
(CMfg)
utilizes
the
cloud
computing
paradigm
to
provide
manufacturing
services
over
Internet
flexibly
and
cost-effectively,
where
users
only
pay
for
what
they
use
may
access
as
needed.
The
scheduling
method
directly
impacts
overall
efficiency
of
CMfg
systems.
industries
supply
aligned
with
customer-specific
needs
recorded
in
managers
develop
strategies
based
on
real-time
demand
establish
service
delivery
timing.
Many
elements
influence
customer
satisfaction,
including
dependability,
timeliness,
quality,
pricing.
Therefore,
depends
multi-objective
task
scheduling.
Multi-objective
evolutionary
algorithms
have
effectively
examined
many
solutions,
such
non-dominant,
Pareto-efficient,
Pareto-optimal
using
both
actual
synthetic
workflows.
This
study
introduces
a
new
Multi-level
Scheduling
Model
(MSM)
evaluates
its
effectiveness
by
comparing
it
other
algorithms,
weighted
genetic
algorithm,
non-dominated
sorting
Algorithm
II,
starch
Pareto
evolution
algorithm.
primary
emphasis
is
assessing
efficacy
their
suitability
commercial
multi-cloud
setups.
MSM's
dynamic
nature
adaptive
features
are
emphasized,
indicating
ability
handle
complexity
demands
resolve
issue
within
this
environment.
Experimental
results
suggest
that
MSM
outperforms
achieving
20%
improvement
makespan.
International Journal of Communication Systems,
Journal Year:
2023,
Volume and Issue:
36(9)
Published: March 26, 2023
Summary
Recently,
cloud
computing
has
been
recognized
as
an
effective
paradigm
for
offering
on‐demand
platform,
software
services,
and
efficient
infrastructure
to
clients.
Due
the
exponential
growth
of
tasks
rapidly
increasing
number
users,
scheduling
balancing
these
among
involved
heterogeneous
virtual
machines
becomes
Non‐deterministic
Polynomial
hard
(NP‐hard)
optimization
problem
considering
significant
constraints,
such
high
rate
resource
usage,
low
time,
implementation
cost.
Therefore,
various
meta‐heuristic
algorithms
have
widely
used
tackle
issue.
The
current
paper
proposes
a
novel
load
mechanism
using
ant
colony
artificial
bee
algorithms,
called
LBAA,
which
aims
balance
division
systems
in
data
centers.
simulation
outcomes
confirm
that
our
algorithm
outperforms
previous
works
regarding
response
imbalance
degree,
makespan,
utilization
up
25%,
15%,
12%,
10%,
respectively.
International Journal of Advanced Computer Science and Applications,
Journal Year:
2023,
Volume and Issue:
14(4)
Published: Jan. 1, 2023
Underwater
Wireless
Sensor
Networks
(UWSNs)
have
a
wide
range
of
applications
for
monitoring
the
ocean
and
exploring
offshore
environment.
nodes
are
typically
dispersed
throughout
area
interest
at
different
depths
in
these
networks.
on
seabed
must
use
routing
protocol
order
to
communicate
with
surface-level
nodes.
The
suitability
assessment
considers
network
resources,
application
requirements,
environmental
factors.
By
combining
factors,
platform
resource-aware
strategies
can
be
created
that
meet
needs
dynamic
environments.
Numerous
challenges
problems
associated
UWSNs,
including
lack
battery
power,
instability
topologies,
limited
bandwidth,
long
propagation
times,
interference
from
ocean.
These
addressed
through
design
protocols.
facilitates
transfer
data
between
source
destination
Data
aggregation
UWSN
protocols
widely
used
achieve
better
outcomes.
This
paper
describes
an
energy-aware
algorithm
UWSNs
uses
improved
ACO
(Ant
Colony
Optimization)
maximize
packet
delivery
ratio,
improve
lifetime,
decrease
end-to-end
delay,
less
energy.
