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s
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e
tw
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s
(
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d
a
n
d
w
irele
ss
).
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d
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p
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t
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e
d
a
ta
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e
s
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m
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s
su
c
h
a
s
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tern
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t
o
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th
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g
s
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tec
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y
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n
d
in
tern
e
t
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of
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ro
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o
ti
c
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t
h
in
g
s
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RT
).
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h
e
h
e
tero
g
e
n
e
o
u
s
n
e
tw
o
rk
re
q
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ires
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e
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ls
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n
d
m
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h
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s
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re
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h
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ll
e
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g
e
s
p
o
se
d
b
y
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T
a
n
d
Io
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.
A
c
c
o
rd
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g
ly
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li
m
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a
ti
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g
th
e
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e
s
t
h
a
t
e
m
e
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g
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h
a
s
c
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d
f
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d
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g
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d
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s
a
s
a
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e
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stra
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h
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y
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se
d
a
n
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c
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ll
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ti
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f
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n
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to
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re
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te
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ro
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m
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n
t
o
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g
e
n
e
o
u
s
n
e
tw
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rk
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h
e
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te
g
y
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c
ti
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tes
th
e
ro
u
ti
n
g
i
n
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a
ti
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n
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ro
to
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l
(
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n
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ro
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ter
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n
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ire
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e
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p
a
ra
ll
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l
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a
d
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d
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m
a
n
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teg
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se
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to
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lv
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th
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ro
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o
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a
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th
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sis
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in
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ra
stru
c
tu
re
Io
RT
te
c
h
n
o
l
o
g
y
.
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n
c
e
,
th
is
stra
teg
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c
a
n
re
d
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c
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e
f
fe
c
ti
v
e
b
e
st
ro
u
ti
n
g
p
ro
to
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o
ls
.
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im
u
latio
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lt
s
u
sin
g
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NET
sh
o
w
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t
th
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im
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ter
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c
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rticle
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C
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A
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r
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W
is
a
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Ma
h
m
o
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L
a
f
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Dep
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1.
I
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T
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w
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1
1
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s
u
f
f
er
f
r
o
m
n
o
t
ap
p
ly
i
n
g
a
d
y
n
a
m
ic
s
t
y
le
to
d
ea
l
w
it
h
s
lo
w
d
ata
tr
an
s
m
is
s
io
n
an
d
co
n
g
esti
o
n
.
T
h
e
m
ai
n
p
ar
am
eter
s
s
u
ch
a
s
d
elay
,
tr
a
f
f
ic
lo
ad
an
d
n
e
t
w
o
r
k
t
h
r
o
u
g
h
p
u
t
r
ep
r
ese
n
t
cr
itical
is
s
u
es
f
o
r
th
e
I
o
R
T
ap
p
licatio
n
[
1
4
]
.
T
h
er
ef
o
r
e,
d
esig
n
in
g
a
n
ef
f
ec
t
iv
e
s
tr
ate
g
y
t
h
at
ac
h
ie
v
es
r
ea
l
-
ti
m
e
d
ata
tr
an
s
m
i
s
s
io
n
co
n
tr
o
l
s
m
o
o
th
l
y
i
s
a
m
aj
o
r
ch
alle
n
g
e
f
o
r
I
o
R
T
ap
p
licatio
n
s
.
Th
e
b
est
ele
m
e
n
t
s
o
f
I
o
R
T
ap
p
licatio
n
s
ar
e
t
h
e
ad
-
h
o
c
o
n
-
d
e
m
an
d
d
i
s
tan
ce
v
ec
to
r
(
A
OD
V)
an
d
t
h
e
r
o
u
tin
g
in
f
o
r
m
at
io
n
p
r
o
to
co
l
(
R
I
P
)
p
r
o
to
co
ls
[
15
].
T
h
e
R
I
P
an
d
A
O
DV
p
r
o
to
co
ls
ar
e
m
o
s
tl
y
u
s
ed
s
ep
ar
atel
y
an
d
p
r
esen
t
b
est
r
esu
lts
i
f
th
e
y
ar
e
ap
p
lied
in
w
ir
eles
s
n
et
wo
r
k
s
.
T
h
e
p
r
o
p
o
s
ed
a
p
p
r
o
ac
h
ai
m
s
to
u
p
d
ate
an
d
estab
lis
h
n
e
w
d
ea
li
n
g
m
e
th
o
d
s
to
i
m
p
r
o
v
e
I
o
R
T
ap
p
licatio
n
s
.
T
h
e
p
r
o
p
o
s
ed
m
eth
o
d
u
s
e
s
T
C
P
an
d
UDP
as
s
tan
d
ar
d
p
r
o
to
co
ls
co
m
p
atib
l
e
w
ith
th
e
p
r
o
p
er
ties
o
f
th
e
d
ata
tr
an
s
m
itted
,
t
h
er
eb
y
m
ak
in
g
t
h
e
n
et
w
o
r
k
o
r
g
a
n
ized
an
d
h
ar
m
o
n
io
u
s
w
i
th
th
e
p
ac
k
a
g
i
n
g
t
y
p
e
(
e.
g
.
,
s
o
u
n
d
,
.
v
id
eo
,
.
f
tp
)
.
So
m
e
o
f
th
e
b
est
ele
m
en
t
s
o
f
h
eter
o
g
e
n
eo
u
s
n
et
w
o
r
k
s
ar
e
th
e
A
OD
V
an
d
R
I
P
p
r
o
to
c
o
ls
,
w
h
ic
h
ar
e
u
s
ed
i
n
h
eter
o
g
en
eo
u
s
n
e
t
w
o
r
k
ap
p
licatio
n
s
,
s
u
c
h
as
I
o
R
T
ap
p
licatio
n
s
[
1
6
]
.
T
h
e
p
r
o
p
o
s
ed
m
et
h
o
d
cr
ea
tes
a
n
e
w
w
o
r
k
i
n
g
m
ec
h
a
n
i
s
m
t
h
at
r
etu
n
s
th
e
d
y
n
a
m
ic
p
r
o
p
e
r
ties
in
th
e
A
O
DV
a
n
d
R
I
P
v
2
p
r
o
to
co
ls
.
T
h
is
n
e
w
m
ec
h
a
n
i
s
m
ai
m
s
t
o
s
elec
t
t
h
e
b
est
p
er
f
o
r
m
a
n
ce
b
y
o
b
tain
i
n
g
n
e
w
r
o
u
tin
g
s
s
tr
ate
g
ie
s
th
at
en
h
a
n
ce
co
m
m
u
n
ica
tio
n
.
T
h
e
n
e
w
r
o
u
tin
g
m
o
d
e
m
a
k
es
a
u
n
i
f
ie
d
p
ath
tab
le
p
r
o
ce
s
s
th
at
d
is
ti
n
g
u
is
h
es t
h
e
r
o
u
ti
n
g
a
n
d
d
is
tan
ce
v
ec
to
r
(
R
I
DV)
alg
o
r
ith
m
.
T
h
e
r
em
a
in
d
er
o
f
th
is
p
ap
er
i
s
o
r
g
an
ized
as
f
o
llo
w
s
.
Sectio
n
2
e
x
p
lain
s
t
h
e
f
ea
t
u
r
es
o
f
t
h
e
d
is
tan
ce
v
ec
to
r
r
o
u
tin
g
al
g
o
r
it
h
m
(
DV
R
A
)
,
w
h
ich
d
e
m
o
n
s
tr
ates
t
h
e
d
y
n
a
m
ic
p
r
o
p
er
ties
o
f
t
h
e
b
es
t
p
r
o
to
co
ls
,
s
u
ch
a
s
R
I
P
an
d
A
ODV.
Sectio
n
3
f
o
cu
s
e
s
o
n
th
e
s
tep
s
o
f
t
h
e
R
I
D
V
alg
o
r
ith
m
a
n
d
its
w
o
r
k
m
e
ch
an
i
s
m
s
to
ch
o
o
s
e
th
e
o
n
l
y
p
er
f
o
r
m
a
n
ce
t
h
at
m
ak
es
its
w
o
r
k
u
n
r
estricte
d
.
S
ec
tio
n
4
d
is
c
u
s
s
es
th
e
r
es
u
lt
s
o
f
th
e
p
r
o
p
o
s
ed
s
tr
a
teg
y
w
it
h
i
m
p
o
r
ta
n
t
p
ar
am
eter
s
.
Sect
io
n
5
co
n
clu
d
e
s
th
is
s
tu
d
y
w
it
h
an
e
x
p
lan
a
t
io
n
o
f
t
h
e
s
ca
lab
le
n
et
w
o
r
k
s
th
r
o
u
g
h
th
e
r
es
u
lt
s
o
b
tain
ed
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
11
,
No
.
2
,
A
p
r
il
2
0
2
1
:
1
8
3
0
-
1838
1832
2.
SYST
E
M
M
O
DE
L
2.
1
.
DVRA
DVR
is
a
m
etr
ic
u
s
e
to
d
ete
r
m
in
e
t
h
e
b
est
r
o
u
te
ac
r
o
s
s
a
n
et
w
o
r
k
b
y
co
u
n
t
s
a
n
u
m
b
e
r
o
f
h
o
p
s
.
DVR
A
m
a
k
es
n
e
t
w
o
r
k
s
r
elia
b
le
ac
co
r
d
in
g
to
w
h
at
is
r
ec
o
r
d
ed
w
it
h
in
t
h
e
p
r
io
r
it
y
tab
le
b
y
tr
a
n
s
f
er
r
in
g
t
h
e
p
ac
k
et
f
r
o
m
t
h
e
m
ai
n
n
o
d
e
to
th
e
tar
g
et
.
T
h
e
s
u
b
s
eq
u
e
n
t
h
o
p
e
(
r
o
u
ter
d
ev
ice)
s
h
o
u
ld
b
e
d
eter
m
i
n
ed
in
t
h
e
tab
le
o
f
p
r
io
r
ities
[
1
7
]
.
T
h
e
R
I
P
an
d
A
ODV
p
r
o
to
co
ls
ar
e
th
e
m
o
s
t
i
m
p
o
r
tan
t
i
n
ter
f
er
en
ce
an
d
co
n
tr
o
l
in
DVR
A
.
T
h
ese
t
w
o
p
r
o
to
co
ls
ar
e
s
u
p
p
o
r
ted
in
th
e
m
aj
o
r
it
y
o
f
ca
m
p
u
s
L
AN
n
et
w
o
r
k
s
[
1
8
]
.
T
h
e
R
I
P
p
r
o
to
c
o
l
is
a
s
ta
n
d
ar
d
p
r
o
to
co
l
u
s
ed
i
n
r
o
u
ti
n
g
p
r
o
to
co
l
f
r
o
m
s
m
all
t
o
m
ed
iu
m
T
C
P
/I
P
n
et
w
o
r
k
s
t
o
ap
p
ly
a
d
is
tan
ce
-
v
ec
to
r
alg
o
r
it
h
m
[
1
9
]
.
Mo
r
e
th
an
o
n
e
r
o
u
te
b
et
w
ee
n
t
w
o
o
r
m
o
r
e
n
o
d
es
m
a
k
e
a
r
o
u
ter
s
elec
t
a
m
eth
o
d
to
ca
lcu
late
th
e
s
h
o
r
test
p
ath
.
T
h
e
R
I
P
p
r
o
t
o
co
l
is
im
p
le
m
en
t
ed
o
n
th
e
r
o
u
ter
to
ac
h
iev
e
th
e
n
et
w
o
r
k
f
u
n
ct
io
n
r
eg
u
lar
l
y
.
O
n
e
o
f
t
h
e
s
ig
n
i
f
ic
an
t
f
ea
tu
r
e
s
t
h
at
en
h
a
n
ce
t
h
e
ef
f
ec
tiv
e
n
e
s
s
o
f
r
o
u
ter
s
i
s
R
I
P
.
T
h
e
R
I
P
p
r
o
to
c
o
l
ca
n
b
e
class
i
f
ied
as
f
o
llo
w
s
:
R
I
P
v
er
s
io
n
1
(
R
I
P
v
1
)
u
s
es b
r
o
ad
ca
s
t U
DP
d
ata
p
ac
k
ets b
ased
o
n
a
s
tatis
tic
r
o
u
ti
n
g
[
2
0
]
.
R
I
P
v
er
s
io
n
2
(
R
I
P
v
1
)
is
a
d
y
n
a
m
ic
r
o
u
tin
g
t
h
at
u
s
es
m
u
l
ti
ca
s
t
p
ac
k
ets
to
ex
c
h
an
g
e
r
o
u
ti
n
g
i
n
f
o
r
m
atio
n
w
it
h
s
u
p
p
o
r
t a
u
th
e
n
ticat
io
n
[
2
1
]
.
T
h
e
cu
r
r
en
t
s
tu
d
y
d
is
c
u
s
s
es
t
h
e
R
I
P
v
2
.
T
h
is
f
ea
tu
r
e
b
elo
n
g
s
to
t
h
e
d
y
n
a
m
ic
r
o
u
ti
n
g
p
r
o
to
co
l
to
r
ed
u
ce
th
e
n
et
w
o
r
k
tr
af
f
ic
t
h
at
f
it
s
w
i
th
th
e
c
h
ar
ac
ter
is
t
ic
s
o
f
AOVD
.
T
h
e
s
o
f
t
w
ar
e
o
f
R
I
P
s
en
d
s
r
o
u
ti
n
g
in
f
o
r
m
atio
n
u
p
d
ates
e
v
er
y
3
0
s
ec
o
n
d
s
to
cr
ea
te
a
r
o
u
tin
g
t
ab
le.
A
d
ev
ice
r
u
n
n
in
g
R
I
P
ca
n
r
ec
eiv
e
a
d
ef
a
u
lt
n
et
w
o
r
k
v
ia
a
n
u
p
d
ate
f
r
o
m
an
o
th
er
d
ev
ice
t
h
at
i
s
also
r
u
n
n
i
n
g
R
I
P
o
r
th
e
m
a
in
d
e
v
ic
e
u
s
i
n
g
th
e
D
VR
P
s
tr
ateg
y
.
I
n
b
o
th
w
a
y
s
,
t
h
e
d
ef
au
lt
n
e
t
w
o
r
k
i
s
ad
v
er
tis
ed
b
et
w
ee
n
at
lea
s
t
t
w
o
d
ev
ice
s
u
s
i
n
g
t
h
e
DV
R
P
s
tr
ateg
y
.
2
.
2
.
Dy
na
m
ic
ro
uti
ng
pro
t
o
co
l
T
h
e
d
y
n
a
m
ic
alg
o
r
it
h
m
is
b
as
ed
o
n
th
e
co
u
n
ti
n
g
o
f
all
p
o
s
s
i
b
le
p
ath
s
t
h
at
li
n
k
w
i
th
th
e
s
o
u
r
ce
to
th
e
tar
g
et
[
2
2
]
.
T
h
e
tab
le
r
o
u
ter
'
s
i
n
f
o
r
m
atio
n
f
o
r
t
h
e
en
tire
n
et
wo
r
k
is
u
p
d
ated
b
y
s
u
p
p
o
r
ted
in
f
o
r
m
atio
n
f
r
o
m
it
s
i
m
m
ed
iate
n
ei
g
h
b
o
r
s
[
2
3
]
.
T
h
er
ea
f
ter
,
th
e
r
o
u
ter
s
h
ar
es
th
e
in
f
o
r
m
at
io
n
w
it
h
all
n
et
w
o
r
k
m
o
b
ile
n
o
d
es
an
d
ex
ch
a
n
g
e
in
f
o
r
m
a
tio
n
b
et
w
ee
n
n
ei
g
h
b
o
u
r
s
'
n
o
d
es
at
r
eg
u
lar
in
ter
v
al
s
[
2
4
]
.
T
h
e
A
OD
V
p
r
o
to
co
l
is
o
n
e
o
f
th
e
f
o
r
e
m
o
s
t p
r
o
m
i
n
en
t r
ea
ctiv
e
r
o
u
tin
g
p
r
o
to
co
ls
an
d
g
o
o
d
ap
p
licatio
n
o
n
t
h
e
d
y
n
a
m
ic
r
o
u
tin
g
alg
o
r
it
h
m
.
T
h
e
A
ODV
p
r
o
to
co
l
u
s
es
“
H
E
L
L
O
”
m
e
s
s
a
g
es
to
en
h
an
ce
th
e
r
eliab
ilit
y
o
f
o
b
ta
in
ab
le
p
ath
s
[
2
5
]
.
T
h
e
"
HE
L
L
O"
m
e
s
s
a
g
es
i
s
p
e
r
io
d
lo
ca
l b
r
o
ad
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ts
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r
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m
a
s
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r
ce
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o
d
e
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f
o
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m
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ea
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y
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ile
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o
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es i
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a
w
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s
s
n
e
t
w
o
r
k
.
T
h
is
m
e
s
s
a
g
e
m
a
y
ev
e
n
b
e
u
s
ed
to
u
p
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ate
th
e
lo
ca
l
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et
w
o
r
k
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o
id
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n
n
ec
t
iv
i
t
y
i
s
s
u
es
o
f
th
e
n
o
d
e
[
2
6
]
.
T
h
e
p
r
o
ce
d
u
r
e
o
f
t
h
e
"
HE
L
L
O"
m
e
s
s
a
g
e
i
s
o
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g
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ized
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y
t
h
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n
o
w
led
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e
ta
b
le
to
s
elec
t
th
e
p
ath
u
p
d
ated
p
er
io
d
icall
y
to
o
b
v
iate
co
n
g
ested
o
r
f
ailed
p
ath
s
.
T
h
e
f
ir
s
t
r
eq
u
est
is
r
o
u
te
r
eq
u
e
s
ts
(
R
R
E
Q
s
)
.
T
h
er
e
af
ter
,
w
ait
to
an
s
w
er
t
h
e
s
ec
o
n
d
r
eq
u
est,
w
h
ic
h
is
r
o
u
te
r
ep
lies
(
R
R
E
P
s
)
as
s
h
o
w
n
in
Fi
g
u
r
e
2
.
I
f
th
e
lin
k
is
in
ter
r
u
p
ted
o
r
b
r
o
k
en
,
th
e
n
th
e
an
s
w
er
w
ill
b
e
r
o
u
te
er
r
o
r
s
(
R
E
R
R
s
)
[
2
7
]
.
T
h
is
d
y
n
a
m
ic
p
r
o
to
c
o
l
in
ter
ac
ts
w
it
h
t
h
e
w
ir
ele
s
s
n
e
t
w
o
r
k
en
v
ir
o
n
m
e
n
t
(
m
o
b
ile
n
o
d
s
)
.
T
h
e
co
n
f
ir
m
ed
in
f
o
r
m
atio
n
f
r
o
m
t
h
e
in
ter
ac
ti
v
e
co
m
m
a
n
d
s
a
n
d
b
y
in
v
e
s
tin
g
d
u
r
in
g
a
p
o
s
i
tiv
e
asp
ec
t
c
o
n
n
ec
t
it
w
i
th
a
n
o
t
h
er
d
y
n
a
m
ic
e
n
v
ir
o
n
m
en
t
r
ep
r
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ted
b
y
a
w
ir
ed
n
et
wo
r
k
en
v
ir
o
n
m
e
n
t
(
r
o
u
ter
s
)
[
2
8
]
.
T
h
e
co
n
f
ir
m
ed
in
f
o
r
m
atio
n
f
r
o
m
t
h
e
w
ir
eles
s
n
et
w
o
r
k
e
n
v
ir
o
n
m
e
n
t
b
y
i
n
t
er
ac
tiv
e
co
m
m
a
n
d
s
o
f
t
h
e
A
O
DV
p
r
o
to
co
l
co
n
n
ec
t
w
i
t
h
an
o
t
h
er
d
y
n
a
m
ic
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v
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o
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m
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n
t r
ep
r
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b
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n
et
w
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r
k
e
n
v
ir
o
n
m
e
n
t
u
s
i
n
g
t
h
e
R
I
P
v
2
p
r
o
to
co
l.
Fig
u
r
e
2
.
D
y
n
a
m
ic
p
er
f
o
r
m
a
n
ce
R
R
E
Q
s
an
d
R
R
E
P
s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
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p
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I
SS
N:
2088
-
8708
B
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tr
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l d
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n
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tern
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th
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in
...
(
W
is
a
m
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h
mo
o
d
La
fta
)
1833
3.
RIDV
S
T
RA
T
E
G
Y
R
I
DV
ca
n
al
s
o
b
e
a
s
tr
ate
g
y
g
e
n
er
atio
n
f
r
o
m
t
w
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al
g
o
r
ith
m
s
to
f
o
r
m
u
late
a
n
e
w
al
g
o
r
ith
m
a
n
d
s
u
p
p
o
r
t
th
e
p
o
s
iti
v
e
s
id
e
an
d
d
is
r
eg
ar
d
o
r
d
is
ab
le
th
e
n
eg
at
iv
e
asp
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t
s
o
f
t
h
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p
r
ev
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g
o
r
ith
m
s
,
t
h
er
e
by
f
o
r
m
i
n
g
a
n
e
f
f
icien
t
al
g
o
r
ith
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ca
l
led
R
I
DV.
N
et
w
o
r
k
s
ar
e
tr
ea
ted
eq
u
all
y
(
w
ir
e
d
a
n
d
w
ir
ele
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s
n
et
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o
r
k
s
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it
h
i
n
t
h
e
p
r
i
m
ar
y
h
o
p
co
u
n
t
n
et
w
o
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k
s
w
h
er
e
a
p
ac
k
et
cr
o
s
s
es
,
an
d
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o
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te
d
is
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v
er
y
w
i
th
r
o
u
te
m
ai
n
ten
a
n
ce
,
as sh
o
w
n
i
n
Fi
g
u
r
e
3
.
Fig
u
r
e
3
.
F
lo
w
c
h
er
at
o
f
R
I
DV
s
tr
ateg
y
T
h
e
R
I
DV
alg
o
r
ith
m
ca
n
b
e
e
x
p
lain
ed
t
h
r
o
u
g
h
t
h
e
f
o
llo
w
i
n
g
s
tep
s
:
Step
1
:
So
u
r
ce
n
o
d
e
s
en
d
s
b
r
o
ad
ca
s
t
r
eq
u
est to
R
R
E
Q.
Step
2
: I
f
n
o
d
e
is
a
r
o
u
ter
-
Set
tin
g
th
e
r
o
u
ter
o
n
R
I
P
v
2
Step
3
: E
ls
e
g
o
to
s
tep
1
//
th
e
s
o
u
r
ce
n
o
d
e
.
Step
4:
R
ec
eiv
e
a
m
e
s
s
a
g
e
i
n
c
lu
d
in
g
t
h
e
r
o
u
te
tab
le
w
it
h
n
e
w
i
n
f
o
r
m
atio
n
.
Step
5
: U
p
d
ate
th
e
r
o
u
tin
g
tab
le
b
y
r
e
f
r
esh
in
g
to
ad
d
o
n
e
h
o
p
f
o
r
ea
ch
ad
v
er
tis
ed
.
Step
6
:
Selectin
g
th
e
n
e
w
n
ex
t
n
o
d
e
u
s
i
n
g
t
h
e
A
ODVp
r
o
to
co
l.
Step
7
:
Sear
ch
f
o
r
th
e
b
est r
o
u
tin
g
p
ath
u
s
i
n
g
D
VR
A
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
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8708
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&
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p
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2
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p
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2
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2
1
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1
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3
0
-
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1834
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8
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I
f
(
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esti
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atio
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e
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n
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e
r
o
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t
in
g
tab
le)
,
th
e
n
g
o
to
s
tep
1
0
.
Step
9
: E
ls
e
(
g
o
to
s
tep
6
)
.
Step
1
0
:
Ma
in
ten
a
n
ce
r
o
u
ti
n
g
tab
le
s
h
o
w
n
i
n
Fi
g
u
r
e
4
.
Step
1
1
:
R
et
u
r
n
th
e
r
esu
lt
g
o
to
s
tep
4
//
s
e
n
d
i
n
g
th
e
u
n
i
f
ied
r
o
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g
p
at
h
s
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le
to
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h
e
r
o
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ter
b
ec
au
s
e
o
f
t
h
e
i
m
p
le
m
en
ta
tio
n
o
f
t
h
e
s
a
m
e
p
ath
r
o
u
ti
n
g
m
ap
alg
o
r
it
h
m
(
D
VR
w
it
h
DR
P
)
.
Fig
u
r
e
4
.
R
o
u
te
m
a
in
te
n
a
n
ce
w
it
h
t
i
m
e
4.
SI
M
M
UL
AT
I
O
N
R
E
SU
L
T
S AN
D
ANA
L
YS
I
S
T
h
e
f
o
llo
w
i
n
g
r
es
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lt
s
ar
e
p
r
esen
ted
w
i
th
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n
t
h
e
f
ac
to
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s
ap
p
lied
in
a
h
eter
o
g
e
n
eo
u
s
n
et
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r
k
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at
is
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o
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k
o
n
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o
R
T
en
v
ir
o
n
m
e
n
t
a
s
s
h
o
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T
ab
le
1
.
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g
u
r
e
5
s
h
o
w
s
t
h
e
d
y
n
a
m
ic
m
o
b
ili
t
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o
f
th
e
I
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T
s
y
s
te
m
s
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d
d
ata
m
a
n
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g
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m
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t
r
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r
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ted
b
y
t
h
e
s
o
u
r
ce
n
o
d
e
m
2
5
.
T
h
e
m
o
b
ile
d
ev
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s
e
n
d
s
d
if
f
e
r
en
t
in
s
tr
u
ctio
n
s
to
o
th
er
n
o
d
es
f
r
o
m
m
1
to
m
1
5
.
T
h
ese
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o
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es
(
e.
g
.
,
r
o
b
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s
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ar
t
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n
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ted
w
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s
s
p
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t
(
i.e
.
,
n
o
d
e
3
,
n
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d
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2
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th
r
o
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g
h
t
w
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r
o
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ter
s
i
n
OP
NE
T
.
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h
e
s
i
m
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latio
n
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u
s
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to
p
er
f
o
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m
a
n
d
an
al
y
ze
d
i
f
f
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en
t
r
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to
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ls
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s
u
ch
as
R
I
P
v
2
an
d
R
I
P
v
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w
i
th
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O
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to
g
en
er
ate
a
n
e
w
R
I
VD
s
tr
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b
y
ap
p
l
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g
1
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o
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ile
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v
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n
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h
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ir
s
t
s
ce
n
ar
io
s
,
th
e
R
I
P
v
2
p
r
o
to
co
l
is
ac
tiv
ated
o
n
l
y
in
r
o
u
ter
s
.
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n
t
h
e
s
ec
o
n
d
s
ce
n
ar
io
,
p
r
o
to
co
ls
(
R
I
P
v
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d
ef
au
lt
p
r
o
to
co
l
in
r
o
u
ter
)
ar
e
n
o
t
ac
ti
v
ated
w
i
th
th
e
p
r
o
p
o
s
ed
n
e
w
R
I
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s
tr
ateg
y
to
m
ea
s
u
r
e
th
e
d
i
f
f
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t
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ac
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r
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b
le
1
.
E
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f
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5
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8708
B
est s
tr
a
teg
y
to
co
n
tr
o
l d
a
ta
o
n
in
tern
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-
of
-
r
o
b
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e
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.
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T
en
v
ir
o
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m
e
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t
4
.
1
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p in LAN
Fig
u
r
e
6
s
h
o
w
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at
R
I
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lu
e
li
n
e)
is
eq
u
al
to
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r
o
co
m
p
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it
h
o
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er
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ce
n
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e
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th
r
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g
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ce
s
s
b
y
ti
m
e
av
er
ag
e.
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h
e
n
e
w
r
e
s
u
l
t
f
r
o
m
t
h
e
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e
w
p
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p
o
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ed
s
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ateg
y
led
to
th
e
d
is
p
o
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al
o
f
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h
e
lo
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s
d
ata.
Fig
u
r
e
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.
Data
d
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o
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in
L
A
N
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
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0
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8
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I
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t J
E
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&
C
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m
p
E
n
g
,
Vo
l.
11
,
No
.
2
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A
p
r
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2
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4
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2
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ra
f
f
ic
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IP
Fig
u
r
e
7
ev
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e
n
tl
y
s
h
o
w
s
t
h
at
th
e
R
I
DV
s
tr
ate
g
y
cu
r
v
es
t
h
e
lo
w
es
t.
T
h
e
f
o
cu
s
o
n
t
h
e
b
l
u
e
cu
r
v
es
w
it
h
o
th
er
c
u
r
v
e
s
m
ea
n
s
its
b
est
r
es
u
lt
a
s
t
h
e
p
ac
k
ets
’
/
s
e
c
less
lo
s
s
ac
h
ie
v
ed
in
t
h
e
R
I
DV
s
tr
ate
g
y
i
n
t
h
e
p
r
o
p
er
ties
o
f
I
P
tr
af
f
ic.
B
y
ac
h
iev
i
n
g
t
h
i
s
f
ac
to
r
,
n
et
w
o
r
k
co
n
g
esti
o
n
is
a
v
o
id
ed
.
Fig
u
r
e
7
.
T
r
af
f
ic
d
r
o
p
I
P
4
.
3
.
Q
ue
ue
dela
y
Qu
e
u
e
is
an
i
m
p
o
r
tan
t
p
ar
a
m
eter
in
m
ea
s
u
r
i
n
g
t
h
e
d
ela
y
i
n
a
n
y
n
e
t
w
o
r
k
a
n
d
co
n
g
est
io
n
p
o
in
ter
.
Mo
r
eo
v
er
,
ac
h
iev
i
n
g
t
h
e
s
p
ee
d
o
f
t
h
e
n
et
w
o
r
k
d
ep
en
d
s
o
n
th
e
lo
w
e
s
t
d
ela
y
a
n
d
n
et
w
o
r
k
s
tab
ilit
y
.
Fig
u
r
e
8
s
h
o
w
s
th
a
t
t
h
e
b
lu
e
lin
e
is
th
e
b
est
o
n
e
to
d
eter
m
in
e
th
e
s
p
ee
d
an
d
s
lo
w
n
e
s
s
o
f
co
m
m
u
n
ica
tio
n
b
y
m
ea
s
u
r
i
n
g
th
e
ac
cu
m
u
lated
lo
ad
o
n
p
o
in
t to
p
o
in
t in
th
e
q
u
e
u
e.
Fig
u
r
e
8
.
Qu
eu
e
d
ela
y
4
.
4
.
T
hro
ug
hp
ut
in t
he
w
irele
s
s
L
AN
T
h
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s
ec
o
n
d
b
est
p
o
in
ter
in
th
e
n
et
w
o
r
k
is
th
e
th
r
o
u
g
h
p
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t.
Fig
u
r
e
9
s
h
o
w
s
th
at
t
h
e
b
lu
e
lin
e
is
th
e
h
ig
h
e
s
t
o
n
e
co
m
p
ar
ed
w
it
h
t
h
e
o
th
er
s
.
T
h
at
is
,
th
e
p
r
o
ce
s
s
es
w
o
r
k
w
i
th
e
x
ce
lle
n
t
o
u
tp
u
t.
I
n
cr
ea
s
ed
n
et
w
o
r
k
p
r
o
d
u
ctiv
it
y
i
n
d
icate
s
i
ts
s
tr
e
n
g
t
h
a
n
d
ef
f
ec
ti
v
en
e
s
s
,
p
ar
ticu
lar
l
y
w
i
th
w
ir
ele
s
s
n
et
w
o
r
k
s
b
ec
au
s
e
it
is
m
o
r
e
v
u
l
n
er
ab
le
to
n
o
is
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
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n
g
I
SS
N:
2088
-
8708
B
est s
tr
a
teg
y
to
co
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tr
o
l d
a
ta
o
n
in
tern
et
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of
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o
b
o
tic
-
th
in
g
s
in
...
(
W
is
a
m
Ma
h
mo
o
d
La
fta
)
1837
Fig
u
r
e
9
.
T
h
r
o
u
g
h
p
u
t i
n
t
h
e
w
ir
eless
L
A
N
T
h
e
ab
o
v
e
r
esu
lts
i
m
p
l
y
t
h
e
d
y
n
a
m
ic
m
o
b
ilit
y
o
f
R
I
DV
al
g
o
r
ith
m
g
i
v
es
h
ig
h
f
lex
ib
ilit
y
t
o
th
e
I
o
R
T
en
v
i
r
o
m
en
t.
T
h
e
R
I
P
an
d
A
O
DV
p
r
o
to
co
l
tab
les
w
er
e
u
n
i
t
ed
in
to
o
n
e
tab
le
i
f
t
h
ese
p
r
o
to
co
ls
w
er
e
ac
ti
v
ated
co
n
cu
r
r
en
tl
y
.
A
cc
o
r
d
in
g
l
y
,
t
h
e
y
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il
l
en
d
w
it
h
d
i
m
in
i
s
h
in
g
ti
m
e
an
d
r
ed
u
ce
d
co
n
g
e
s
tio
n
,
th
er
eb
y
r
es
u
lt
in
g
av
o
id
a
co
llis
io
n
i
n
t
h
e
p
as
s
ag
e
o
f
i
n
f
o
r
m
atio
n
f
r
o
m
t
h
e
m
o
b
ile
s
o
u
r
ce
(
u
s
er
)
to
t
h
e
m
o
b
ile
d
esti
n
atio
n
(
r
o
b
o
t)
u
s
i
n
g
th
e
a
v
ailab
le
d
y
n
a
m
ic
p
r
o
p
er
ty
.
5.
CO
NCLU
SI
O
N
T
h
e
in
ter
n
e
t
o
f
r
o
b
o
tic
th
i
n
g
s
(
I
o
R
T
)
r
eq
u
ir
es
r
esear
ch
i
n
to
th
e
ar
ea
o
f
s
ea
m
les
s
h
eter
o
g
en
eo
u
s
p
latf
o
r
m
i
n
te
g
r
atio
n
,
th
in
g
s
i
d
en
tific
atio
n
(
ad
d
r
ess
in
g
a
n
d
n
a
m
in
g
in
I
o
T
)
an
d
d
y
n
a
m
ic
-
th
i
n
g
s
.
T
h
e
c
u
r
r
en
t
r
esear
ch
is
f
o
cu
s
ed
o
n
I
o
T
h
et
er
o
g
en
eo
u
s
p
ar
allel
p
r
o
c
ess
in
g
an
d
d
y
n
a
m
ic
s
y
s
te
m
s
b
ased
o
n
p
ar
allelis
m
an
d
co
n
cu
r
r
en
c
y
.
T
h
e
d
y
n
a
m
ic
m
ai
n
tai
n
i
s
c
h
an
g
i
n
g
t
h
e
r
e
-
co
n
f
i
g
u
r
atio
n
I
o
T
s
y
s
te
m
s
in
th
e
h
eter
o
g
e
n
eo
u
s
n
et
w
o
r
k
f
o
r
i
n
te
g
r
atio
n
w
it
h
I
o
R
T
s
er
v
ice
an
d
co
m
p
o
s
it
io
n
.
T
h
e
p
r
o
b
lem
o
f
co
n
tr
o
l
in
ter
m
s
o
f
av
o
id
i
n
g
co
n
g
es
tio
n
a
n
d
s
lo
w
d
ata
tr
a
n
s
m
i
s
s
io
n
r
es
u
lts
f
r
o
m
h
i
g
h
t
r
af
f
ic
w
it
h
th
e
ef
f
ec
t
o
f
q
u
e
u
e
d
ela
y
o
n
n
et
w
o
r
k
p
r
o
d
u
ctiv
it
y
.
No
te
t
h
at
th
e
c
o
n
f
i
g
u
r
atio
n
r
eq
u
ir
ed
b
y
t
h
e
p
r
o
p
o
s
ed
R
I
DV
s
tr
ateg
y
i
s
b
etter
th
an
R
I
P
an
d
A
O
DV
th
a
t
w
o
r
k
s
s
ep
ar
atel
y
.
T
h
e
r
ea
s
o
n
is
th
at
t
h
e
A
OD
V
p
r
o
to
co
l
h
as
co
n
s
id
er
ab
le
in
ter
ac
tio
n
w
i
th
t
h
e
R
I
P
v
2
p
r
o
to
co
l o
w
i
n
g
to
s
i
m
il
ar
p
r
o
p
er
ties
.
T
h
e
d
y
n
a
m
ic
co
m
p
a
tib
ilit
y
f
ea
t
u
r
es i
n
th
e
R
I
DV
s
tr
ate
g
y
p
r
o
v
id
e
so
b
r
iety
an
d
r
eliab
ili
t
y
to
tr
an
s
m
it
d
ata.
I
n
t
h
is
co
n
te
x
t,
R
I
DV
s
tr
ateg
y
co
u
ld
b
e
co
n
s
id
er
ed
m
a
in
ta
in
i
n
g
a
p
ath
tab
le
n
ee
d
ed
to
ad
d
r
ess
s
ca
lab
ilit
y
an
d
r
eliab
ilit
y
co
n
ce
r
n
s
w
it
h
r
esp
ec
t
to
I
o
T
tech
n
o
lo
g
ies
a
n
d
I
o
R
T
ap
p
licatio
n
s
.
T
h
e
h
ig
h
e
f
f
icie
n
c
y
o
f
th
e
n
e
w
R
I
DV
s
tr
ate
g
y
m
ak
e
s
t
h
e
h
eter
o
g
e
n
eo
u
s
n
et
w
o
r
k
i
n
ter
ac
t
w
it
h
th
e
s
u
r
r
o
u
n
d
in
g
s
b
y
co
n
tr
o
lli
n
g
an
d
tr
an
s
m
i
tti
n
g
in
f
o
r
m
a
ti
o
n
to
w
ar
d
its
tar
g
et
s
.
T
h
e
i
m
p
le
m
en
ta
tio
n
o
f
t
h
e
s
a
m
e
p
ath
m
ap
alg
o
r
it
h
m
b
y
m
ai
n
tai
n
in
g
a
p
ath
tab
le
p
er
io
d
icall
y
g
i
v
es
t
h
e
R
I
D
V
s
tr
ate
g
y
a
d
is
ti
n
ct
m
et
h
o
d
o
f
co
n
tr
o
l
an
d
p
r
ef
er
en
ce
,
th
e
r
eb
y
s
h
o
r
ten
i
n
g
th
e
t
i
m
e
a
n
d
u
n
i
f
ied
p
ath
r
o
u
t
in
g
tab
le.
Fu
tu
r
e
s
t
u
d
ies
s
h
o
u
l
d
ac
tiv
ate
a
n
e
w
R
I
DV
s
tr
ateg
y
in
d
if
f
er
en
t
i
n
d
ep
en
d
en
t
n
et
w
o
r
k
s
b
y
s
elec
tin
g
a
r
ap
id
m
ea
n
s
to
co
n
n
ec
t
w
i
t
h
m
o
b
ile
d
e
v
ices i
n
w
i
d
e
ar
ea
s
.
RE
F
E
R
E
NC
E
S
[1
]
L
.
A
.
G
riec
o
,
e
t
a
l.
,
“
Io
T
-
a
id
e
d
ro
b
o
ti
c
s
a
p
p
li
c
a
ti
o
n
s:
T
e
c
h
n
o
l
o
g
ica
l
im
p
li
c
a
ti
o
n
s,
targ
e
t
d
o
m
a
in
s
a
n
d
o
p
e
n
issu
e
s,”
Co
mp
u
t
er
C
o
mm
u
n
ica
ti
o
n
,
v
o
l.
5
4
,
p
p
.
3
2
-
4
7
,
2
0
1
4
.
[2
]
P
.
S
e
th
i
a
n
d
S
.
R.
S
a
ra
n
g
i,
“
In
ter
n
e
t
o
f
T
h
in
g
s:
A
rc
h
it
e
c
tu
re
s,
P
r
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to
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o
ls,
a
n
d
A
p
p
l
ica
ti
o
n
s,”
J
o
u
rn
a
l
o
f
El
e
c
tr
ica
l
and
Co
m
p
u
t
er
E
n
g
i
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e
e
rin
g
,
v
o
l.
2
0
1
7
,
n
o
.
1
,
p
p
.
1
-
2
5
,
2
0
1
7
.
[3
]
K.
Xu
,
e
t
a
l.
,
“
A
tu
to
rial
o
n
t
h
e
in
tern
e
t
o
f
th
i
n
g
s:
F
r
o
m
a
h
e
tero
g
e
n
e
o
u
s
n
e
tw
o
rk
in
teg
ra
ti
o
n
p
e
rsp
e
c
ti
v
e
,
”
IEE
E
Ne
tw
o
rk
,
v
o
l.
3
0
,
n
o
.
2
,
p
p
.
1
0
2
-
1
0
8
,
2
0
1
6
.
[4
]
W
.
M
.
L
a
f
ta,
e
t
a
l.
,
“
P
e
rf
o
rm
a
n
c
e
e
v
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RED
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d
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o
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En
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in
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g
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3
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p
p
.
5
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0
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5
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5
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1
6
.
[5
]
Q.
Zh
u
,
e
t
a
l.
,
“
A
m
o
b
il
e
a
d
h
o
c
n
e
tw
o
rk
s
a
lg
o
rit
h
m
i
m
p
ro
v
e
d
AO
DV
p
ro
t
o
c
o
l,
”
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c
e
d
i
a
En
g
in
e
e
rin
g
,
v
o
l.
2
3
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p
p
.
2
2
9
-
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3
4
,
2
0
1
1
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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[6
]
H.
H.
Qa
sim
,
e
t
a
l.
,
“
De
sig
n
a
n
d
im
p
le
m
e
n
tatio
n
h
o
m
e
se
c
u
rit
y
s
y
ste
m
a
n
d
m
o
n
it
o
ri
n
g
b
y
u
sin
g
w
irele
ss
se
n
so
r
n
e
tw
o
rk
s
W
S
N/in
tern
e
t
o
f
th
in
g
s
IOT
,
”
In
t
e
rn
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
tr
ica
l
a
n
d
Co
m
p
u
t
er
E
n
g
i
n
e
e
rin
g
(
IJ
ECE
)
,
v
o
l.
1
0
,
n
o
.
3
,
p
p
.
2
6
1
7
-
2
6
2
4
,
2
0
2
0
.
[7
]
B.
S
re
e
d
e
v
i,
e
t
a
l.
,
“
Im
p
le
m
e
n
tatio
n
o
f
Zo
n
e
Ro
u
ti
n
g
P
ro
t
o
c
o
l
f
o
r
He
tero
g
e
n
e
o
u
s
H
y
b
rid
Clu
ste
r
Ro
u
ti
n
g
to
S
u
p
p
o
rt
Q
o
S
in
M
o
b
i
le
A
d
h
o
c
Ne
t
w
o
rk
s,”
In
t
e
rn
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
Co
m
p
u
t
er
Ap
p
l
ica
t
io
n
s
,
v
o
l.
2
5
,
n
o
.
1
0
,
p
p
.
1
-
6
,
2
0
1
1
.
[8
]
S
.
P
a
ti
l
a
n
d
A
.
M
.
Bh
a
v
ik
a
tt
i,
“
He
tero
g
e
n
e
o
u
s
n
e
tw
o
rk
o
p
ti
m
iza
ti
o
n
u
sin
g
ro
b
u
st
p
o
w
e
r
-
a
n
d
-
re
so
u
rc
e
b
a
se
d
a
lg
o
rit
h
m
,
”
In
t
e
rn
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
tr
ica
l
a
n
d
C
o
mp
u
t
er
En
g
in
e
e
rin
g
(
IJ
ECE
)
,
v
o
l.
9
,
n
o
.
5
,
p
p
.
4
2
2
6
-
4
2
3
7
,
2
0
1
9
.
[9
]
K.
P
a
n
d
e
y
a
n
d
A
.
S
w
a
ro
o
p
,
“
A
C
o
m
p
re
h
e
n
siv
e
P
e
rf
o
rm
a
n
c
e
A
n
a
ly
sis
o
f
P
ro
a
c
ti
v
e
,
Re
a
c
ti
v
e
a
n
d
Hy
b
rid
M
A
NE
T
s
Ro
u
ti
n
g
P
ro
t
o
c
o
ls,”
I
n
t
e
rn
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
C
o
m
p
u
t
er
S
c
i
e
n
c
e
Iss
u
e
s
,
v
o
l.
8
,
n
o
.
6
,
p
p
.
4
3
2
-
4
4
1
,
2
0
1
1
.
[1
0
]
W
.
M
.
L
a
f
ta,
e
t
a
l.
,
“
He
tero
g
e
n
e
o
u
s
Ne
tw
o
rk
P
e
rf
o
r
m
a
n
c
e
I
m
p
ro
v
e
m
e
n
t
Us
in
g
P
ro
p
o
se
d
OL
RED
a
n
d
OLW
RED
S
trate
g
ies
,
”
In
t
e
rn
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
F
u
tu
r
e
C
o
mp
u
t
e
r a
n
d
C
o
mm
u
n
ica
ti
o
n
,
v
o
l.
5
,
n
o
.
5
,
p
p
.
1
9
9
-
2
0
4
,
2
0
1
6
.
[1
1
]
B.
S
.
Ka
n
g
,
e
t
a
l.
,
“
A
OD
V
-
RIP
:
Im
p
ro
v
e
d
se
c
u
rit
y
in
m
o
b
il
e
a
d
h
o
c
n
e
tw
o
rk
s
th
ro
u
g
h
ro
u
t
e
in
v
e
stig
a
ti
o
n
p
ro
c
e
d
u
re
,
”
C
o
n
c
u
rr
e
n
c
y
a
n
d
Co
mp
u
t
a
ti
o
n
Pr
a
c
t
ice
a
n
d
Exp
e
rie
n
c
e
,
v
o
l.
2
2
,
n
o
.
7
,
p
p
.
8
1
6
-
8
3
0
,
2
0
1
0
.
[1
2
]
H.
Ha
r
m
a
n
,
e
t
a
l.
,
“
Ro
b
o
t
a
ss
ista
n
c
e
in
d
y
n
a
m
ic
s
m
a
rt
e
n
v
iro
n
m
e
n
ts
—
a
h
iera
rc
h
ica
l
c
o
n
ti
n
u
a
l
p
lan
n
in
g
in
th
e
n
o
w
f
ra
m
e
w
o
rk
,
”
S
e
n
so
rs
(
S
wit
ze
rla
n
d
)
,
v
o
l.
1
9
,
n
o
.
2
2
,
p
p
.
1
-
3
3
,
2
0
1
9
.
[1
3
]
O.
V
e
rm
e
s
a
n
a
n
d
J.
Ba
c
q
u
e
t,
“
Co
g
n
it
iv
e
H
y
p
e
rc
o
n
n
e
c
ted
Dig
it
a
l
T
ra
n
s
f
o
r
m
a
ti
o
n
,
”
Ri
v
e
r
Pu
b
li
s
h
e
rs
,
p
p
.
1
-
3
1
0
,
2
0
1
7
.
[1
4
]
J.
G
o
v
in
d
a
sa
m
y
a
n
d
S
.
P
u
n
n
iak
o
d
y
,
“
A
c
o
m
p
a
ra
ti
v
e
stu
d
y
o
f
re
a
c
ti
v
e
,
p
ro
a
c
ti
v
e
a
n
d
h
y
b
rid
ro
u
t
in
g
p
ro
to
c
o
l
in
w
irele
ss
se
n
so
r
n
e
tw
o
rk
u
n
d
e
r
w
o
r
m
h
o
le
a
tt
a
c
k
,
”
J
o
u
rn
a
l
o
f
E
lec
tr
ica
l
S
y
st
e
ms
a
n
d
I
n
f
o
rm
a
ti
o
n
T
e
c
h
n
o
l
ogy
,
v
o
l.
5
,
n
o
.
3
,
p
p
.
7
3
5
-
7
4
4
,
2
0
1
8
.
[1
5
]
A
.
Dh
a
k
a
,
e
t
a
l.
,
“
G
r
a
y
a
n
d
Blac
k
Ho
le
A
tt
a
c
k
Id
e
n
ti
f
ic
a
ti
o
n
Us
in
g
Co
n
tro
l
P
a
c
k
e
ts
in
M
A
N
ET
s,”
Pro
c
e
d
ia
Co
mp
u
t
er
S
c
i
e
n
c
e
,
v
o
l.
5
4
,
p
p
.
8
3
-
9
1
,
2
0
1
5
.
[1
6
]
R.
v
a
n
G
lab
b
e
e
k
,
e
t
a
l.
,
“
M
o
d
e
l
l
in
g
a
n
d
v
e
rify
in
g
th
e
A
OD
V
ro
u
ti
n
g
p
r
o
to
c
o
l,
”
Distri
b
u
te
d
C
o
m
p
u
t
in
g
,
v
o
l.
2
9
,
n
o
.
4
,
p
p
.
2
7
9
-
3
1
5
,
2
0
1
6
.
[1
7
]
Z.
S
.
M
a
h
m
o
o
d
,
e
t
a
l.
,
“
T
h
e
Dire
c
ti
o
n
a
l
Hie
ra
rc
h
ica
l
A
OD
V
(
DH
-
AO
DV
)
ro
u
ti
n
g
p
ro
to
c
o
l
f
o
r
w
irele
ss
m
e
s
h
n
e
tw
o
rk
s,”
2
0
1
5
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Co
mp
u
ti
n
g
,
C
o
n
tr
o
l,
Ne
two
rk
in
g
,
El
e
c
tro
n
ics
a
n
d
Emb
e
d
d
e
d
S
y
ste
ms
En
g
i
n
e
e
rin
g
(
ICCNEE
E)
,
K
h
a
rto
u
m
,
2
0
1
6
,
p
p
.
2
2
4
-
2
2
9
.
[1
8
]
A
.
S
y
a
rif
,
e
t
a
l.
,
“
A
d
d
in
g
g
a
te
w
a
y
m
o
d
e
f
o
r
R
-
AO
DV
ro
u
ti
n
g
p
ro
t
o
c
o
l
in
h
y
b
rid
a
d
h
o
c
n
e
tw
o
rk
,
”
T
ENCON 2
0
1
1
-
2
0
1
1
IE
EE
Reg
io
n
1
0
C
o
n
fer
e
n
c
e
,
Ba
li
,
2
0
1
1
,
p
p
.
1
6
9
-
1
7
3
.
[1
9
]
S
.
G
.
T
h
o
re
n
o
o
r,
“
Dy
n
a
m
ic
ro
u
ti
n
g
p
r
o
to
c
o
l
im
p
lem
e
n
tatio
n
d
e
c
isio
n
b
e
tw
e
e
n
EIG
RP
,
OS
P
F
a
n
d
RI
P
b
a
se
d
o
n
tec
h
n
ica
l
b
a
c
k
g
ro
u
n
d
u
si
n
g
O
P
N
ET
m
o
d
e
ler,”
2
0
1
0
S
e
c
o
n
d
I
n
ter
n
a
ti
o
n
a
l
C
o
n
fer
e
n
c
e
o
n
C
o
mp
u
ter
a
n
d
Ne
two
rk
T
e
c
h
n
o
l
o
g
y
,
Ba
n
g
k
o
k
,
2
0
1
0
,
p
p
.
1
9
1
-
1
9
5
.
[2
0
]
A
.
A
.
S
u
so
m
,
“
E
ffe
c
ti
v
e
n
e
ss
o
f
ro
u
ti
n
g
p
ro
t
o
c
o
ls
f
o
r
d
if
f
e
r
e
n
t
n
e
tw
o
rk
in
g
sc
e
n
a
rio
s,”
Ad
v
a
n
c
e
s
in
S
c
i
e
n
c
e
,
T
e
c
h
n
o
l
o
g
y
a
n
d
E
n
g
i
n
e
e
rin
g
S
y
st
e
ms
J
o
u
rn
a
l
,
v
o
l.
3
,
n
o
.
4
,
p
p
.
1
1
2
-
1
2
1
,
2
0
1
8
.
[2
1
]
S
.
G
.
F
e
rn
a
n
d
e
z
,
e
t
a
l.
,
“
Un
m
a
n
n
e
d
a
n
d
a
u
to
n
o
m
o
u
s
g
ro
u
n
d
v
e
h
icle
,
”
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
tr
ica
l
a
n
d
Co
mp
u
t
er
E
n
g
in
e
e
rin
g
(
IJ
ECE
)
,
v
o
l.
9
,
n
o
.
5
,
p
p
.
4
4
6
6
-
4
4
7
2
,
2
0
1
9
.
[2
2
]
E.
H.
Ho
u
ss
e
in
,
“
A
n
t
-
Ho
c
:
A
s
w
a
r
m
in
telli
g
e
n
c
e
-
b
a
se
d
ro
u
ti
n
g
p
ro
to
c
o
l
f
o
r
A
d
Ho
c
n
e
t
wo
rk
s,”
IRA
CS
T
In
t
e
rn
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
C
o
mp
u
t
er
Ne
two
rk
s
a
n
d
W
ire
l
e
ss
Co
mm
u
n
ica
ti
o
n
,
v
o
l.
6
,
n
o
.
1
,
p
p
.
1
4
-
2
3
,
2
0
1
6
.
[2
3
]
K.
Ch
a
w
la
a
n
d
K.
V
a
ts,
“
Dif
fe
re
n
t
Qo
S
Ba
se
d
S
im
u
latio
n
Ev
a
lu
a
ti
o
n
o
f
T
OR
A
a
n
d
G
RP
Ro
u
ti
n
g
P
r
o
to
c
o
l
Ba
se
d
o
n
F
re
q
u
e
n
c
y
Ho
p
p
in
g
,
”
I
n
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
m
p
u
ter
S
c
ien
c
e
a
n
d
M
o
b
i
le
Co
mp
u
ti
n
g
,
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