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[
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I
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8
8
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8708
I
J
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C
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Vo
l.
6
,
No
.
6
,
Dec
em
b
er
201
6
:
29
4
9
–
29
5
4
2950
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llo
[
6
]
p
r
o
p
o
s
ed
an
e
x
ten
s
io
n
to
t
h
e
T
FR
C
p
r
o
to
co
l
in
o
r
d
er
to
s
u
p
p
o
r
t
v
ar
iab
le
p
ac
k
et
s
ize
f
l
o
w
s
.
I
n
t
h
i
s
p
ap
er
,
n
u
m
er
ato
r
o
f
T
FR
C
eq
u
atio
n
is
ch
a
n
g
ed
to
MT
U,
s
o
th
at
it
is
s
u
itab
le
f
o
r
v
ar
iab
le
p
ac
k
et
s
ize
f
lo
w
s
.
Mo
h
a
m
m
ad
A
.
T
alaa
t,
Ga
m
a
l
M.
A
tti
y
a,
a
n
d
Ma
g
d
i
A
.
K
o
u
tb
[
7
]
p
r
ed
icted
th
at
V
id
eo
tr
af
f
ic
i
s
b
o
o
m
i
n
g
o
v
er
I
n
ter
n
e
t
a
n
d
to
b
e
t
h
e
p
r
ev
aili
n
g
tr
af
f
ic
t
y
p
e
i
n
th
e
c
o
m
in
g
f
e
w
y
ea
r
s
.
T
FR
C
is
t
h
e
m
o
s
t
p
r
o
m
i
s
i
n
g
ca
n
d
id
ate
co
n
g
e
s
tio
n
co
n
tr
o
l
alg
o
r
ith
m
o
v
er
I
n
ter
n
et
t
h
at
h
a
n
d
les
s
u
c
h
t
y
p
e
o
f
tr
a
f
f
ic
ap
p
r
o
p
r
iately
s
a
tis
f
y
in
g
its
Qo
S r
eq
u
ir
e
m
e
n
ts
.
Ag
n
iesz
k
a
C
h
o
d
o
r
ek
an
d
R
o
b
er
t R.
C
h
o
d
o
r
ek
[
8
]
s
u
g
g
es
t t
h
at
alt
h
o
u
g
h
T
FR
C
p
r
o
to
co
l
is
s
u
itab
le
f
o
r
m
u
lti
m
ed
ia
tr
an
s
m
i
s
s
io
n
,
t
h
e
y
p
r
o
p
o
s
ed
to
s
u
b
s
tit
u
te
t
h
e
o
r
ig
in
al
T
FR
C
th
r
o
u
g
h
p
u
t
eq
u
atio
n
w
it
h
a
li
n
ea
r
t
h
r
o
u
g
h
p
u
t
eq
u
atio
n
.
R
es
u
lts
allo
w
u
s
to
b
e
liev
e
th
at
t
h
e
p
r
o
p
o
s
ed
lin
ea
r
eq
u
atio
n
is
m
o
r
e
s
u
itab
le
f
o
r
m
u
lti
m
ed
ia
tr
an
s
m
is
s
io
n
t
h
a
n
th
e
eq
u
a
tio
n
o
r
ig
in
all
y
in
c
lu
d
ed
in
t
h
e
R
FC
3
4
4
8
.
3.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
e
m
ai
n
p
u
r
p
o
s
e
to
d
o
m
o
d
if
icatio
n
s
is
to
i
m
p
r
o
v
e
t
h
r
o
u
g
h
p
u
t
o
f
T
FR
C
b
y
s
m
o
o
th
i
n
g
i
ts
s
en
d
i
n
g
r
ate.
Ma
n
y
r
esear
c
h
er
s
tr
ied
to
i
m
p
r
o
v
e
T
FR
C
p
er
f
o
r
m
a
n
ce
o
v
er
w
ir
ed
an
d
w
ir
ele
s
s
a
d
h
o
c
n
et
w
o
r
k
s
b
y
ch
an
g
i
n
g
s
o
m
e
f
i
x
ed
p
ar
a
m
et
er
s
in
its
eq
u
atio
n
l
ik
e
p
ac
k
et
s
ize
S.
B
u
t
a
litt
le
r
esear
ch
w
o
r
k
is
d
o
n
e
s
o
f
ar
o
n
th
e
f
i
x
ed
p
ar
a
m
eter
s
li
k
e
th
e
n
u
m
b
er
o
f
p
ac
k
ets
t
h
a
t
ar
e
ac
k
n
o
w
led
g
ed
b
y
o
n
e
AC
K
(
b
)
,
an
d
r
etr
an
s
m
i
s
s
io
n
ti
m
e
o
u
t
(
R
T
O)
.
T
h
is
p
ap
er
in
tr
o
d
u
ce
s
s
o
m
e
m
o
d
i
f
ic
atio
n
s
to
th
e
p
ar
a
m
eter
s
,
n
u
m
b
er
o
f
p
ac
k
ets
ac
k
n
o
w
led
g
ed
an
d
R
T
O
v
al
u
es
to
g
et
s
m
o
o
t
h
er
t
h
r
o
u
g
h
p
u
t
w
h
e
n
tr
a
n
s
m
itted
d
ata
is
l
ar
g
e
w
it
h
m
i
n
i
m
al
co
n
g
es
tio
n.
Ou
r
p
r
o
p
o
s
ed
s
ch
e
m
e
i
n
tr
o
d
u
ce
s
s
o
m
e
m
o
d
if
ica
tio
n
s
to
clas
s
ical
T
FR
C
eq
u
at
io
n
.
O
u
r
ch
a
n
g
e
s
i
n
th
e
T
FR
C
eq
u
atio
n
ar
e
ca
s
e
(
i)
G
o
b
ac
k
-
N
m
eth
o
d
o
lo
g
y
is
ap
p
lied
to
b
alo
n
g
w
ith
lin
ea
r
ar
it
h
m
e
tic
p
r
o
g
r
ess
io
n
ap
p
lied
to
R
etr
an
s
m
i
s
s
io
n
ti
m
e
o
u
t
ca
s
e
(
ii)
Se
lec
ti
v
e
R
ep
ea
t
m
et
h
o
d
o
lo
g
y
is
ap
p
lie
d
to
b
alo
n
g
w
it
h
ex
p
o
n
en
t
ial
b
ac
k
o
f
f
al
g
o
r
ith
m
ap
p
lied
to
R
etr
an
s
m
is
s
io
n
t
i
m
e
o
u
t.
3
.
1
.
Ca
s
e
(
i)
T
FR
C
r
eq
u
ir
es
an
ac
k
n
o
w
led
g
e
m
e
n
t
p
er
ev
er
y
p
ac
k
et.
T
o
r
ed
u
ce
th
e
co
n
g
esti
o
n
in
t
h
e
n
et
w
o
r
k
,
w
h
e
n
th
e
tr
an
s
m
it
ted
d
ata
is
v
er
y
lar
g
e,
th
er
e
is
a
ch
o
ice
to
r
ed
u
ce
th
e
n
u
m
b
er
o
f
ac
k
n
o
w
led
g
e
m
e
n
ts
f
r
o
m
r
ec
eiv
er
to
s
en
d
er
f
o
r
ev
er
y
p
ac
k
et.
I
n
cr
ea
s
in
g
t
h
e
v
al
u
e
o
f
b
(
i.e
.
b
=
2
,
b
=
3
.
,
etc)
r
ed
u
ce
s
n
u
m
b
er
o
f
ac
k
n
o
w
led
g
e
m
e
n
t
s
.
W
e
s
i
m
u
lta
n
eo
u
s
l
y
ap
p
l
y
li
n
ea
r
ar
ith
m
e
tic
p
r
o
g
r
ess
io
n
tec
h
n
iq
u
e
to
r
etr
an
s
m
is
s
io
n
ti
m
eo
u
t
f
o
r
ev
er
y
n
o
n
-
ac
k
n
o
w
led
g
ed
p
ac
k
et
(
i.e
.
R
T
O=
4
R
,
R
T
O=
5
R
.
,
etc)
.
T
h
e
f
o
llo
w
i
n
g
al
g
o
r
ith
m
illu
s
tr
ates t
h
e
ab
o
v
e
s
ce
n
ar
io
.
)
32
1
(
8
3
*
12
3
2
2
p
p
p
R
T
T
p
R
T
T
S
X
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2088
-
8708
P
erfo
r
ma
n
ce
E
n
h
a
n
c
eme
n
t o
f
TC
P
F
r
ien
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a
te
C
o
n
t
r
o
l P
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ve
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.
(
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a
ma
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ja
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e
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R
ed
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2951
A
lg
o
r
ith
m
f
o
r
ca
s
e
(
i)
:
1.
C
h
o
o
s
e
b
u
ffer
s
iz
e
a
t sen
d
er si
d
e
w
ith
clo
ck
_
t.
2.
C
h
o
o
s
e
th
e
s
u
ita
b
le
va
lu
e
o
f b
(
Lim
ited
in
crea
s
e)
3.
I
f (
a
ll p
a
ck
ets a
r
e
r
ec
eive
d
b
y
r
ec
eive
r
)
{
N
o
ch
a
n
g
e
in
R
TO.
S
en
d
n
ex
t seq
u
e
n
ce
d
s
eg
me
n
ts
}
E
ls
e
{
R
etra
n
s
mit th
e
u
n
a
ck
n
o
w
led
g
ed
s
eg
men
ts
A
p
p
ly
lin
ea
r
a
r
ith
metic
p
r
o
g
r
ess
io
n
to
R
TO
}
4.
C
o
n
tin
u
e
th
is
p
r
o
ce
s
s
u
n
til a
ll seg
men
ts
co
mp
leted
.
3
.
2
.
Ca
s
e
(
ii)
I
n
th
is
ca
s
e,
i
n
cr
ea
s
i
n
g
t
h
e
v
al
u
e
o
f
b
(
i.e
.
b
=2
,
b
=3
.
,
etc)
r
e
d
u
ce
s
n
u
m
b
er
o
f
ac
k
n
o
w
led
g
e
m
en
ts
.
W
e
s
i
m
u
lta
n
eo
u
s
l
y
ap
p
l
y
e
x
p
o
n
en
tial
b
ac
k
-
o
f
f
al
g
o
r
ith
m
to
r
etr
an
s
m
i
s
s
io
n
ti
m
eo
u
t
f
o
r
ev
er
y
n
o
n
-
ac
k
n
o
w
led
g
e
d
p
ac
k
et
(
i.e
.
R
T
O=
4
R
,
R
T
O=
8
R
.
,
etc)
.
T
h
e
f
o
llo
w
in
g
al
g
o
r
it
h
m
i
llu
s
tr
ates t
h
e
ab
o
v
e
s
ce
n
a
r
io
.
Alg
o
rit
h
m
f
o
r
ca
s
e
(
ii):
1.
C
h
o
o
s
e
b
u
ffer
s
iz
e
a
t b
o
th
s
en
d
er a
n
d
r
ec
eive
r
s
id
es w
ith
cl
o
ck
_
t.
2.
C
h
o
o
s
e
th
e
s
u
ita
b
le
va
lu
e
o
f b
(
Lim
ited
in
crea
s
e)
3.
I
f (
a
ll p
a
ck
ets a
r
e
r
ec
eive
d
b
y
r
ec
eive
r
)
{
N
o
ch
a
n
g
e
in
R
TO.
S
en
d
n
ex
t seq
u
e
n
ce
d
s
eg
me
n
ts
}
E
ls
e
{
R
etra
n
s
mit th
e
u
n
a
ck
n
o
w
led
g
ed
s
eg
men
ts
A
p
p
ly
ex
p
o
n
en
tia
l b
a
ck
-
o
ff
a
lg
o
r
ith
m
to
R
TO
}
4.
C
o
n
tin
u
e
th
is
p
r
o
ce
s
s
u
n
til a
ll seg
men
ts
a
r
e
co
mp
leted
.
4.
SI
M
UL
AT
I
O
N
E
NV
I
RO
N
M
E
NT
Du
m
b
b
ell
to
p
o
lo
g
y
w
it
h
m
u
lti
p
le
b
o
ttle
n
ec
k
lin
k
s
co
n
s
is
tin
g
o
f
1
0
n
o
d
es
w
it
h
d
if
f
er
en
t
b
an
d
w
id
th
s
lik
e
5
Mb
p
s
,
4
Mb
p
s
,
1
0
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b
p
s
,
an
d
2
Mb
p
s
w
i
th
tr
a
n
s
m
i
s
s
io
n
d
ela
y
1
0
m
s
i
s
u
s
ed
.
Fo
r
b
o
th
ca
s
es,
T
FR
C
p
ac
k
et
s
ize
is
f
ix
ed
at
1
0
0
0
b
y
tes
a
n
d
to
tal
s
i
m
u
latio
n
ti
m
e
is
1
5
0
s
ec
.
NS2
.
3
5
is
u
s
ed
as
n
et
w
o
r
k
s
i
m
u
lato
r
.
Fig
u
r
e
1
is
s
h
o
w
s
d
u
m
b
b
ell
to
p
o
lo
g
y
.
Fig
u
r
e
1
.
Du
m
b
b
ell
T
o
p
o
lo
g
y
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
6
,
No
.
6
,
Dec
em
b
er
201
6
:
29
4
9
–
29
5
4
2952
T
FR
C
th
r
o
u
g
h
p
u
t
eq
u
atio
n
is
p
r
esen
t
in
d
cc
p
_
tf
r
c.
cc
f
i
le
o
f
n
s
-
2
.
3
5
.
T
h
e
o
r
ig
in
al
co
d
e
f
o
r
ca
lcu
lati
n
g
s
e
n
d
in
g
r
ate
u
s
i
n
g
th
r
o
u
g
h
p
u
t
eq
u
atio
n
is
as
f
o
llo
w
s
.
I
n
lin
e
d
o
u
b
le
D
C
C
P
T
FR
C
Ag
en
t::t
f
r
c_
ca
lcX(
u
_
i
n
t1
6
_
t s,
d
o
u
b
le
R
,
d
o
u
b
le
p
)
{
d
o
u
b
le
te
m
p
=
R
*
s
q
r
t(
2
*
p
/3
)
+(
4
*
R
*
(
3
*
s
q
r
t(
3
*
p
/8
)
)
*
p
*
(
1
+
3
2
*
p
*
p
)
)
;
r
etu
r
n
(
(
d
o
u
b
le)
s
/te
m
p
)
;
}
C
B
R
o
b
j
ec
ts
ar
e
u
s
ed
to
g
en
e
r
ate
p
ac
k
ets
at
a
co
n
s
ta
n
t
b
it
r
ate.
A
C
B
R
tr
af
f
ic
g
e
n
er
ato
r
u
s
es
a
C
++
class
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R
_
T
r
af
f
ic
w
h
ic
h
is
b
o
u
n
d
to
a
n
OT
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L
clas
s
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p
p
licatio
n
/T
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af
f
ic/C
B
R
.
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e
h
a
v
e
d
o
n
e
a
n
u
m
b
er
o
f
s
i
m
u
lat
io
n
s
w
it
h
d
if
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er
e
n
t
v
alu
es
o
f
b
an
d
R
T
O
u
s
in
g
ab
o
v
e
t
w
o
ca
s
es.
T
h
e
s
im
u
l
atio
n
en
v
ir
o
n
m
en
t
p
ar
am
eter
s
ar
e
as f
o
llo
w
s
.
5.
P
E
RF
O
RM
ANCE M
E
T
RIC
S
T
h
e
p
er
f
o
r
m
an
ce
p
ar
a
m
eter
s
t
h
at
ar
e
u
s
ed
ar
e
as f
o
llo
w
s
:
Th
r
o
u
g
h
p
u
t:
T
h
r
o
u
g
h
p
u
t
is
th
e
r
ate
at
w
h
i
ch
a
n
et
w
o
r
k
s
e
n
d
s
o
r
r
ec
eiv
es
d
ata.
I
t
i
s
r
ated
i
n
ter
m
s
o
f
b
its
p
e
r
s
ec
o
n
d
(
b
it/s
)
.
P
a
ck
et
Lo
s
s
R
a
te:
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ac
k
et
lo
s
s
r
ate
i
s
t
h
e
r
atio
b
e
t
w
ee
n
n
u
m
b
er
o
f
p
ac
k
ets
d
r
o
p
p
ed
o
r
lo
s
t
an
d
n
u
m
b
er
o
f
p
ac
k
ets
s
e
n
t
th
r
o
u
g
h
t
h
e
n
e
t
w
o
r
k
6.
RE
SU
L
T
S
A
ND
AN
AL
Y
SI
S
I
n
t
h
is
,
w
e
co
m
p
ar
e
p
er
f
o
r
m
a
n
ce
o
f
m
o
d
i
f
ied
T
FR
C
a
n
d
cl
ass
ical
T
FR
C
v
ia
th
r
o
u
g
h
p
u
t
an
d
p
ac
k
et
lo
s
s
r
ate.
Fig
u
r
e
2
illu
s
tr
ates
t
h
r
o
u
g
h
p
u
t
ef
f
icie
n
c
y
o
f
T
FR
C
u
s
i
n
g
ca
s
e
(
1
)
.
T
h
e
g
r
ap
h
s
h
o
w
s
th
at
th
r
o
u
g
h
p
u
t
in
cr
ea
s
es
f
o
r
li
m
ited
in
cr
ea
s
e
in
b
v
al
u
e
an
d
R
T
O
is
a
f
u
n
ct
io
n
o
f
li
n
ea
r
ar
ith
m
etic
p
r
o
g
r
ess
io
n
f
o
r
n
e
g
ati
v
e
ac
k
n
o
w
led
g
e
m
e
n
t.
A
li
m
ited
in
cr
ea
s
e
is
r
eq
u
ir
ed
f
o
r
b
v
alu
e
;
o
th
er
w
is
e
av
ala
n
c
h
e
ef
f
ec
t
w
i
ll
d
ec
r
ea
s
e
th
r
o
u
g
h
p
u
t e
f
f
icie
n
c
y
.
Fig
u
r
e
2
.
T
h
r
o
u
g
h
p
u
t
Ef
f
icien
c
y
o
f
T
FR
C
Usi
n
g
C
ase
(
i)
Fig
u
r
e
3
illu
s
tr
ates
p
ac
k
et
lo
s
s
r
atio
o
f
T
FR
C
u
s
i
n
g
ca
s
e(
1
)
.
T
h
e
ab
o
v
e
f
ig
u
r
e
d
ep
icts
co
m
p
ar
is
o
n
o
f
p
ac
k
et
lo
s
s
r
atio
w
it
h
T
FR
C
’
s
m
o
d
if
ied
a
n
d
cla
s
s
ical
T
FR
C
.
W
ith
i
n
cr
ea
s
i
n
g
d
ata
r
ate,
m
o
d
if
ied
T
FR
C
g
i
v
es
less
p
ac
k
et
r
atio
t
h
an
cla
s
s
ical
T
FR
C
ac
co
r
d
in
g
to
ca
s
e
(
1
)
.
Fig
u
r
e
4
illu
s
tr
ates
t
h
r
o
u
g
h
p
u
t
ef
f
icie
n
c
y
o
f
T
FR
C
u
s
i
n
g
ca
s
e
(
2
)
.
T
h
e
g
r
a
p
h
illu
s
t
r
ates
th
a
t
th
r
o
u
g
h
p
u
t
i
n
cr
ea
s
e
s
f
o
r
li
m
it
ed
in
cr
ea
s
e
in
b
v
al
u
e
a
n
d
R
T
O
is
a
f
u
n
ct
io
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o
f
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x
p
o
n
e
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tial
b
ac
k
-
o
f
f
al
g
o
r
ith
m
f
o
r
r
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d
in
g
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tiv
e
s
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ase
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s
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ac
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et
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s
s
ical
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r
d
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g
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Fig
u
r
e
5
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ar
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o
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o
f
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ac
k
et
L
o
s
s
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atio
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n
g
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a
s
e
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7.
CO
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O
N
T
h
is
p
ap
er
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r
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ts
m
o
d
i
f
ica
tio
n
s
to
t
h
e
eq
u
a
tio
n
o
f
T
C
P
Frie
n
d
l
y
R
ate
C
o
n
tr
o
l
to
e
n
h
an
ce
t
h
e
p
er
f
o
r
m
a
n
ce
o
v
er
w
ir
ed
n
et
w
o
r
k
s
w
h
e
n
t
h
e
tr
an
s
m
it
ted
d
ata
is
lar
g
e
an
d
s
u
itab
le
to
ap
p
licatio
n
s
w
h
ic
h
r
eq
u
ir
es
s
m
o
o
th
er
t
h
r
o
u
g
h
p
u
t.
Ov
er
all
r
esu
lt
s
s
h
o
w
t
h
at
m
o
d
if
ied
T
FR
C
h
a
s
ac
h
ie
v
ed
g
o
o
d
th
r
o
u
g
h
p
u
t
w
it
h
m
i
n
i
m
al
co
n
g
e
s
tio
n
w
h
en
c
o
m
p
ar
ed
to
class
ical
T
FR
C
.
Fu
r
th
er
f
u
t
u
r
e
w
o
r
k
is
ai
m
ed
at
m
ea
s
u
r
in
g
th
r
o
u
g
h
p
u
t o
f
T
FR
C
in
ad
v
er
s
ities
li
k
e,
m
ea
s
u
r
i
n
g
r
o
u
n
d
tr
i
p
ti
m
e
d
u
r
in
g
d
y
n
a
m
icall
y
ch
a
n
g
i
n
g
b
an
d
w
id
t
h
.
RE
F
E
R
E
NC
E
S
[1
]
J
.
P
o
ste
l,
“
T
ra
n
sm
issio
n
Co
n
tr
o
l
P
r
o
to
c
o
l
(T
C
P
):
P
r
o
to
c
o
l
S
p
e
c
if
ic
a
ti
o
n
,
”
IE
T
F
R
FC
,
v
o
l.
7
9
3
,
1
9
8
1
.
[2
]
J.
P
.
S
.
F
l
o
y
d
,
e
t
a
l
.
,
“
P
ro
to
c
o
l
S
p
e
c
if
i
c
a
ti
o
n
:
T
CP
F
rien
d
ly
Ra
te C
o
n
tr
o
l
(T
F
RC),
”
IET
F
RF
C
,
v
o
l.
5
3
4
8
,
2
0
0
8
.
[3
]
A
.
S
a
th
ias
e
e
lan
a
n
d
G
.
F
a
irh
u
r
st,
“
T
CP
-
F
rien
d
ly
Ra
te
Co
n
tro
l
(T
F
RC)
f
o
r
b
u
rsty
m
e
d
ia
f
lo
w
s,
”
Co
mp
u
ter
Co
mm
u
n
ica
ti
o
n
s
,
v
ol
/
issu
e
:
34
(
15
)
,
pp.
1
8
3
6
-
1
8
4
7
,
2
0
1
1
.
[4
]
M
.
Ha
n
d
ley
,
e
t
a
l
.
,
“
P
ro
t
o
c
o
l
S
p
e
c
if
ic
a
ti
o
n
:
T
C
P
F
rie
n
d
ly
Ra
te Co
n
tro
l
(T
F
RC),
”
IET
F
R
FC
,
v
o
l.
3
4
4
8
,
2
0
0
3
[5
]
S
.
F
l
o
y
d
a
n
d
E.
Ko
h
ler,
“
T
F
RC
-
S
P
v
a
rian
t
,
”
IET
F
RF
C
,
v
o
l
.
4
8
2
8
,
2
0
0
7
.
[6
]
P
.
R
.
V
a
sa
ll
o
,
“
V
a
riab
le
P
a
c
k
e
t
S
ize
Eq
u
a
ti
o
n
-
Ba
se
d
Co
n
g
e
stio
n
C
o
n
tr
o
l”.
[7
]
M
.
A
.
T
a
la
a
t,
e
t
a
l
.
,
“
En
h
a
n
c
e
d
T
CP
-
f
rien
d
ly
ra
te
c
o
n
tro
l
f
o
r
su
p
p
o
rti
n
g
v
id
e
o
traff
ic
o
v
e
r
in
te
rn
e
t
,
”
CJ
ECE
,
v
ol
/i
ss
u
e
:
36
(
3
)
,
p
p
.
1
3
5
-
1
4
0
,
2
0
1
3
.
IS
S
N:
0
8
4
0
-
8
6
8
8
,
P
u
b
li
sh
e
r:
I
EE
E,
DO
I:
1
0
.
1
1
0
9
/CJECE
.
2
0
1
3
.
6
7
0
4
6
9
5
.
[8
]
A
.
Ch
o
d
o
re
k
a
n
d
R
.
R.
C
h
o
d
o
re
k
,
“
S
trea
m
in
g
V
id
e
o
o
v
e
r
T
F
RC
w
it
h
L
in
e
a
r
T
h
ro
u
g
h
p
u
t
E
q
u
a
ti
o
n
,
”
Ad
v
a
n
c
e
s
in
El
e
c
tro
n
ics
a
n
d
T
e
lec
o
mm
u
n
ica
ti
o
n
s
,
v
ol
/i
ss
u
e
:
1
(
2
)
,
p
p
.
26
-
2
9
,
2
0
1
0
.
Evaluation Warning : The document was created with Spire.PDF for Python.