performance analysis of tdrp and edrp for voice and video services in manet.doc

7/26/2019 Performance Analysis of TDRP and EDRP for Voice and Video Services in MANET.doc

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Performance Evaluation of TDRP and EDRP for Voice and

Video Services in MANET

Abstract The center of attention of this research paper isabout the performance evaluation of TDRP (table driven routing

protocol) and EDRP (event driven routing protocol) by using

voice and video traffic in MANET (mobile Adhoc netor!)"

Particularly #$%R (table driven) and D%R (Event driven)

routing protocols are focused" The nodes of MANET establish the

connections ith each other energetically& and move freely in any

direction" 'n mobile Adhoc netor! environment event driven

and table driven protocols have significant subect matter of

study" There is a mobility issue hich affects the services

performance due to brea!age and reneal of lin!s of mobile

nodes" Protocols performances have significance on overall

performance of MANET" The aim of this paper is to present the

performance analysis of selected routing protocols by varying the

node densities and varying $AN physical characteristics" The

voice and video traffic applications are configured discretely by

using #$%R and D%R in scenarios" Moreover& for the

performance observation the parameters are& itter& trafficreceived& traffic sent& end*to*end delay& traffic load& and

throughput" The simulation have been carried out through

#PNET +,"- modeler tool& and results have been analysed.

Keywords MANET& TDRP& EDRP& METR'.%& #PNET"

I. INTRODUTION

An im!ortant "ireless net"or# environment "$ic$ is underresearc$ is MANET %Mo&ile Ad$oc Net"or#'. It is flavor ofmo&ile "ireless communication tec$nolo(). T$e *irelessmo&ile Ad$oc net"or# $as an im!ortant !osition in t$e fieldof net"or#in(. MANET de!icted as self or(ani+ed and self

confi(ured net"or# la)out in t$at situation "$ere fi,ednet"or# could not &e de!lo)ed. In t$e MANET environmentall nodes automaticall) esta&lis$ connectivit) and develo!"ireless mo&ile net"or# infrastructure. In t$is net"or# eac$node "it$out restraint move inde!endentl). In t$is modern eraof advancement of tec$nolo() t$e MANET offers &est

net"or# environment and offers services. -ut t$ere are man)issues (a!s fla"s !ro&lems in t$e MANET. O&viousl) "$endevices are moved inde!endentl) t$ere is Mo&ilit) issue. As"ell t$ere is securit) !ro&lem also scala&ilit) issue inMANET It $as &een o&served t$at t$ere are man) !ro&lems

in mo&ile "ireless tec$nolo() T$e securit) fla"s is due tovulnera&ilit) of securit) !rotocols t$at de(rade t$e

!erformance of MANET services t$at also affect t$e mo&ilit)and t$e scala&ilit). A!!arentl) in MANET t$ere are issues inroutin( !rotocols "$ic$ affects t$e MANET services. T$econnectivit) fla"s of Nodes de(rade t$e MANET services.T$ese issues occur &ecause of t$e routin( !rotocols ofMANET "$ic$ esta&lis$ t$e lin#s &et"een nodes. T$e (oal of

t$is IS/ to c$ec# t$e !erformance "it$ t$e fidelit) of ta&ledriven and event driven !rotocols &) usin( voice 0 videoa!!lication in MANET. T$rou($!ut and dela) !arameter "ill&e focused. T$is $el!s to #no" t$e trust"ort$iness &)c$an(in( t$e a!!lications. T$at $el!s $o" mo&ilit) affected int$e scenario of different environment.

II. PRO-1EMSTATEMENT

T$ere are t"o flavors of routin( !rotocols in MANET. Oneflavor is t$e ta&le driven and anot$er flavor is t$e event driven

routin( !rotocols. 2ence in t$is stud) t$e ta&le driven !rotocolO1SR and event driven !rotocol TORA or DSR !erformance"ill &e anal)+ed &) usin( voice a!!lication 3.456 and 3.477codec and video a!!lications li#e video conferencin( inMANET environment t$rou($ simulation. T$e 8oS!arameters t$rou($!ut and dela) "ill focus and develo! t$e

scenario "it$ different set of nodes densit) "it$ d)namicmo&ilit). 1asl) t$e results of ta&le driven and event driven!rotocols com!ared &) usin( voice and video a!!licationscenarios and "ill &e discussed accordin(l). Also

recommendation "ill &e !rovided for im!rovements.

III. RE1ATED*OR9

MANET is "ireless self or(ani+ed net"or# tec$nolo() "$ic$

is most efficient for t$at (eo(ra!$ical area "$ere fi,ednet"or# cannot &e de!lo)ed. MANET !rovides t$e vi&rantinfrastructure "$ere it d)namicall) de!lo)s in self or(ani+edand self confi(ured manner :7;.M.1 S$arma et al anal)+edAODV and DSR !rotocols and usin(


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scenarios and found different results accordin( to t$e natureof traffic. Also t$e results of simulation of t$e DSR routin(!rotocol o&served &etter as com!ared to t$e AODV routin(!rotocol in terms of s!ecial traffic !arameters. O&viousl)

!roactive !rotocols $ave (ood !erformance $avin( t$e!arameter of routin( messa(e over$ead and end to end dela):5;. =a$an(ir #$an et al evaluated frame"or# of 8oS andfound issues &et"een intermediate nodes durin( t$e !ac#et

deliver) :>;. Also Mas$ri et al $as assessed O1SR as "ea#!rotocol in terms of time of !ac#et deliver) :?;. Sin(la et al

t$e AODV DSDV and TORA routin( !rotocols com!ared &)-R traffic !attern and TP a!!lications. T$e resultscom!ared &) !arameters avera(e end to end dela) and !ac#etdeliver) ratio. T$e AODV is found &est from DSDV :@;.2aue Na"a+ et al $ave &een o&served t$at t$ere are man)arc$itecture issues in t$e MANET/ also t$ere is !o"er dra"

&ac#s scala&ilit) fla"s mo&ilit) fla"s securit) !ro&lems inMANET :B;. 9avita Pande) et al !resented t$e anal)sis ofDSDV DSR AODV and CRP !rotocols on t$e &asis ofavera(e dela) t$rou($!ut routin( over$ead and !ac#etsdro!!ed &) usin( ns5 simulator :4;. Su&raman)a -$at.M et alfocused on !roactive and reactive and $)&rid !rotocols

%O1SR AODV DSR1AR and CRP' on t$e &asis of avera(eitter avera(e end to end dela) and !ac#et deliver) ratio &)usin( ualnet simulator. O1SR !erforms &etter in densenet"or# :F;. P.9u!!usam) et al $ave (iven t$e descri!tivecom!arison of AODV TORA and O1SR in li($t of end to enddela) routin( over$ead and !ac#et deliver) ratio metrics and

t$e anal)sis s$o"s TORA and AODV !erform &etter t$anO1SR :6;. Naveen -. and 2ars$ 9.V focused on O1SR andAODV on t$e &asis of default and varied metrics evaluatedt$at t$e !erformance is varied &) node densities tool OPNETmodeler $ad used :7G;. M. Palaniammal and M. 1alli $as!resented an overvie" of !rominent !rotocols includin(

AODV DSR and TORA in MANET !ros and cons of t$ese!rotocols $as &een descri&ed com!arativel) and it ismentioned t$at "$ic$ one is &est it is $ard to ma#e decision:77;. As$is$ S. and


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communicate or send !ac#et to destination node. T$e eventdriven routin( !rotocols invo#e t$e mec$anism of discover)of route and #no" t$e destination route. T$e route remainsactive till t$e communication session is needed :6;. T$e node

"$en needed route on demand it is discovered :76;. T$ereare fe" !rominent event driven routin( !rotocols. a'AODV% Ad$oc On demand Distance Vector' &'DSR%D)namic Source Routin(' c' TORA% Tem!orar) ordered

Routin( Al(orit$m'. T$e AODV routin( !rotocol al(orit$moffers route to t$e nodes "$en t$e source node reuest t$e

route . It $el! t$e nodes to easil) enter and leave t$e net"or#"$en needed. AODV Su!!orts &ot$ unicost and multicastmec$anism &) !erformin( distance vector routin(. DSR is t$eEDRP &ased routin( !rotocol. It $as t"o mec$anisms one ist$e route discoverin( and ot$er is route maintenance. T$esemec$anisms !erform function to(et$er and allo" t$e mo&ile

nodes to discover t$e route and maintain t$e connectivit) inmo&ile Ad$oc net"or#. In t$is IS t$e DSR selected for!erformance anal)sis "it$ O1SR !rotocol.

V. MANET APP1IATIONS

T$e MANET easil) add t$e devices and remove devices andmaintain t$e connectivit). It can &e de!lo)ed an)"$ere "$ereinfrastructure of net"or# is not availa&le inconvenient or

e,istin(. Initiall) MANET develo!ed and derived for t$emilitar) a!!lication for t$e !ur!ose of net"or# surviva&ilit)and eas) develo!ment. T$ere are fe" mo&ile Ad$oc net"or#a!!lication "$ic$ $as &een (iven &elo".

M*- %Militar) *arH -attlefield'

11 %1ocal 1evel'

1 %ommercial 1evel'

*MN %*ireless Mes$ Net"or#'

2*N %2)&rid *ireless Net"or#'

Durin( "ar in &attlefield militar) can easil) develo! t$eirmo&ile net"or# &) usin( MANET !latform and easil)

maintain t$eir communication &et"een troo!s com!anies and"it$ $eaduarter. 11 su!!ose a mo&ile net"or# t$at candevelo! for $os!itals stadiums &oats li#e "ise and itmaintains communication for tem!orar) time &ein( t$at isalso an im!ortant a!!lication of mo&ile Ad$oc net"or#. 1can &e $el!ful durin( disaster and emer(enc) for relief

o!eration durin( eart$ua#e flood and fire "$ere fi,edinfrastructure of net"or# is unavaila&le in t$is conditionMANET !la) an im!ortant role of esta&lis$in(

communication on tem!orar) &asis &et"een !eo!les N3Osand 3overnment to recover and co!e "it$ t$e situation. *MNis an im!ortant a!!lication t$rou($ "$ic$ "it$out s!ectrum

reuse and !lannin( to !rovide a se!arate infrastructure t$at$el! t$e !eo!le on t$eir residence locations and &usinesslocations as alternate solutions "$ere cellular net"or#sometimes does not su!!ort. 2*N is t$e flavour and solutionof mo&ile ad $oc net"or#in( "$ic$ su!!orts t$e a!!licationsli#e"ise/ ITS %Intelli(ent trans!ort s)stem' 1E N and

communication.

VI. MANET METRIS

A. Tranmiion -ane

T$e !o"er constraint is limited t$e transmission ran(e!arameter due to reuse of freuenc) and effects of c$annel:55;. Transmission ran(e de!ends on t$e transmit !o"er. It$as &een derived from mat$ematical formula "$ic$ is (iven&elo".

EuationJ 7

T$e !o"er value "$ic$ $as &een used K G.GG@ "att T$etransmission ran(e is reuired t$e a&ove formula s$o"s t$at

D is t$e transmission ran(e.2ence t$e transmissionran(e can&e calculated &) derivin( t$e a&ove euation.

EuationJ 5

T$e follo"in( transmission ran(es $as &een calculated &)usin( a&ove formulaJ

Transmit Poer () Transmission Range(m)

G.GGGFG@F4B 7GG

G.GG7F7>557 7@G

G.GG>55>@G? 5GG

G.GG@G>B45@ 5@G

G.GG45@5FF@ >GG

G.GG6F476F5 >@G

G.G75F6?G74 ?GG

G.G7B>7F667 ?@G

G.G5G7?B6G5 @GG

G.G5?>444@7 @@G

Ta&le 7J Transmission ran(e

B. Tranmit !ower

T$e transmit !o"er is a feature of *ireless 1AN%*1AN'"$ic$ im!act on communication directl) and &) increasin(t$e Transmit !o"er t$e transmission ran(e "ill &e increased inMANET. Moreover it is !roved t$rou($ Mat$ematicalformula of transmission ran(e &) increasin( transmit !o"er"$ic$ directl) im!act on transmission ran(e. It indicates t$at

transmission !o"er directl) im!act on t$e !erformance ofMANET !rotocols.

C. 2itter

T$e !ac#et arrival time variation is #no"n as itter :6;. T$e

dela) or latenc) variations or t$e !ac#et arrival time variations

>

! 3 + *14511.1

3!67-//8*9.18*B1:4.1+8;


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are #no"n as itter.


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c$aracteristics standard FG5.77 a $as &een confi(ured "it$video traffic. T$en run t$e simulation and collected t$e results.Similarl) FG5.77( confi(ured and carried out t$e simulationand o&tained t$e results. T$e Scenarios Main $aracteristics

$as &een (iven &elo" ta&le 7 and ta&le 5.

%cenarios Parameters %cenario /alues

Simu&ation too& !NT 18.@

%ANT !rotoco& 6?S-, DS-Campu Networ" Scenario Size 14441444 m

Numer of %oi&e No$e 18, +

Data -ate @8 %p

App&ication Name oice an$ i$eo Traffic

7ire&e ?AN !) Caracteritic 4+.11a an$ 4+.11

Networ" !rotoco& I!

%oi&it) mo$e& -an$om 7a)point

Scenario Simu&ation Time 94 min

Ta&leJ 5

T$e *ireless 1AN attri&ute Values $as &een (iven &elo".

ireless $AN Parameters ireless $AN Parameters /alues

Canne& Settin Auto aine$

Tranmitter !ower 4.44@ 7att

Tranmiion -ane +@4 m

=ramentation Treo&$ 14+8 )te

Buffer Size 14+8444 it

%oi&e No$e Spee$ 14 m:

Ta&leJ >

T$e follo"in( 5 scenarios develo!ed &) usin( a&ove!arameters values and attri&utes $avin( 7? and 5F nodesaccordin( to (iven ta&ular values.

A.perimenta& 7or" Simu&ation Scenario 1.


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voice traffic DSR $as itter value G.G74 sec and O1SR!rotocol $as itter value G.G7> sec.


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t$rou($!ut and O1SR !rotocol $ave 5 m&!s t$rou($!ut. Onot$er $and in *1AN FG5.77( environment for voice trafficDSR $as 7.5 m&!s t$rou($!ut and O1SR !rotocol $as 7.55m&!s.


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voice traffic DSR $as itter value G.G76 sec and O1SR!rotocol $as itter value G.G5F sec.


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In t$e a&ove .> m&!sand O1SR !rotocol dro!!ed data G.4 m&!s. On t$eot$er $and in*1AN FG5.77( environment for video traffic

DSR $as dro!!ed data >.4 m&!s and O1SR !rotocol $asdro!!ed t$e data G.5 m&!s. T$e DSR !rotocol $as (reater datadro!!ed as com!ared to O1SR !rotocol.


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end to end dela). On ot$er $and in *1AN FG5.77(environment DSR $as 4.F sec !ac#et end to end dela) andO1SR $as G.6 sec !ac#et end to end dela). T$e DSR $as(reater !ac#et end to end dela) as com!ared to O1SR in &ot$

*1AN !$)sical c$aracteristics.

5 Video Traffic Sent

In t$e a&ove 5 it $as &een o&served t$at in *1AN

FG5.77a atmos!$ere t$e video traffic sent &) DSR is 56 me(a&)tesH sec or 5>5 m&!s and O1SR !rotocol $as sent 57me(a&)tesH sec or 7BF m&!s. On ot$er $and in *1AN FG5.77(atmos!$ere for video traffic sent &) DSR is >4me(a &)tesHsec

or 56B m&!s and O1SR !rotocol $as sent >Fme(a &)tesHsecor >G? m&!s.

> Video Traffic Received

In t$e a&ove > it $as &een o&served t$at in *1ANFG5.77a atmos!$ere t$e video traffic received &) DSR is FG#ilo &)tesH sec or B?G m&!s and O1SR !rotocol $as received5FG #ilo &)tesH sec or 5.5? m&!s. On ot$er $and in *1ANFG5.77( atmos!$ere for video traffic received &) DSR is 7?G

#ilo &)tesHsec or G.F? m&!s and O1SR !rotocol $as received?G #ilo &)tesHsec or >5G m&!s.

? Video Traffic 1oad

In t$e a&ove ? it $as &een o&served t$at in *1ANFG5.77a environment for video traffic t$e net"or# load of

7?


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DSR is 54G m&!s and O1SR !rotocol $as 6@ m&!s net"or#load. On ot$er $and in *1AN FG5.77( environment for voicetraffic net"or# load of DSR is >4G m&!s and O1SR !rotocol$as 5>G m&!s net"or# load. In &ot$ *1AN !$)sical

c$aracteristics t$e DSR !rotocol $as (reater net"or# load ascom!ared to O1SR.

@.Video Traffic Media Access Dela)

In t$e a&ove @ it $as &een o&served t$at in *1ANFG5.77a environment for video traffic media access dela) of

DSR is 5.@ sec and O1SR $as G.4 sec media access dela). onot$er $and in *1AN FG5.77( environment for video trafficDSR !rotocol $as 5.?> secmedia access dela) and O1SR $as7.>@ sec media access dela).it $as &een o&served DSR $as(reater media access dela) in &ot$ !$)sical c$aracteristics of*1AN.

B Video Traffic Data Dro!!ed

In t$e a&ove B it $as &een o&served t$at in *1ANFG5.77a environment for video traffic DSR $as dro!!ed data5@@ m&!sand O1SR !rotocol dro!!ed data 4G m&!s. On t$eot$er $and in*1AN FG5.77( environment for video trafficDSR $as dro!!ed data >@@ m&!s and O1SR !rotocol $as

dro!!ed t$e data 57@ m&!s. T$e DSR !rotocol $as (reaterdata dro!!ed as com!ared to O1SR !rotocol.

4 Video Traffic T$rou($!utIn t$e a&ove 4 it $as &een o&served t$at in *1AN

FG5.77a environment for video traffic DSR $as 7G.@ m&!st$rou($!ut and O1SR !rotocol $ave 5> m&!s t$rou($!ut. Onot$er $and in *1AN FG5.77( environment for video traffic

7@


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DSR $as 7? m&!s t$rou($!ut and O1SR !rotocol $as 7Fm&!s. T$e !erformance com!ared O1SR !rotocol $as (reatert$rou($!ut as com!ared to DSR !rotocol.

. ON1USIONS

T$is researc$ !a!er !rovidin( t$e com!re$ensive !erformanceanal)sis of TDRP %O1SR' and EDRP %DSR' of Mo&ile Ad$oc

Net"or# usin( voice and video a!!lication services anddifferent node densities "it$ different *1AN !$)sical

c$aracteristics suc$ as/ *1AN FG5.77a and *1AN FG5.77(.It $as &een o&served "$en t$e voice a!!lication used inMANET !late form/ t$e O1SR and DSR !erformance variedin *1AN FG5.77a and FG5.77( environment t$e anal)sis

s$o"s t$at t$e O1SR voice traffic received and t$rou($!ut is(reater t$an DSR. Moreover t$e traffic load media accessdela) and data dro!!ed is (rater in DSR as com!ared toO1SR.


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o&served same and little varied. G

:76; Pra()a 3u!ta Sud$a 3u!ta !erformance (o&ution of %oi&it)

%o$e& on %ANT -outin !rotoco&F T$ird International

onference on Advanced om!utin( 0 ommunicationTec$nolo(ies IEEE 5G7> !!J5?F5@>

74


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:5G; Mo$ammad Ali Mostafavi A))ou& A#&ari Mo($anou($i 0 2amid

Mousavi A -e(iew an$ !erformance Ana&)i of -eacti(e an$!roacti(e -outin !rotoco& on %ANT 1Pu&lis$ed &) anadian

enter of Science and Education Net"or# and ommunication

Tec$nolo(ies/ Vol. 7 No. 5/ 5G75 !! ?F@F

:57; Md. Mon+ur Mors$ed and Md. 2a&i&ur Re$man !erformance

(a&uation of DSD an$ A6D -outin !rotoco& in %oi&e A$5oc

Networ" De!artment of com!uter science 0 en(ineerin( Don((u#Universit) Sout$ 9orea !!>66?G>

:55; Arun 9umar -.R 1o#ant$a . Redd) and Pra#as$ S. 2iremat$

%oi&e A$oc Networ" Iue, -eearc Tren$ an$ perimentFDravidian Universit) 9u!!am India IETE2 =ournal of

ommunication Tec$niues volJ5 NoJ 5 !!@4B>.

:5>; -asu Dev S$iva$are $aru *a$i and S$alini S$iv$are Comparionof !roacti(e an$ -eacti(e -outin !rotoco& in %oi&e A$oc

Networ" 'in -outin !rotoco& !ropert) Noida %U.P' International

=ournal of Emer(in( Tec$nolo() and Advanced En(ineerin( volJ 5issue > 5G75 !!>@B>@6.

:5?; 2arman!reet 9aur and Er. =as"inder sin($ !erformance

Comparion of 6?S-, >-! an$ T6-A uin 6!NTF Puna&Universit) Patiala India International =ournal of Advanced Researc$

in om!uter Science and Soft"are En(ineerin( vol 5 Issue 7G

5G75 !!5BG5B4.

:2-3 1e Min$ Duon(Citoune 1.and Veue V. A %e$ium Acce De&a)

%AC aware metric for %u&tiop 7ire&e Networ" *ireless

ommunications and Mo&ile om!utin( onference %I*M'

IEEE 5G75 1imassol !!J?4@?FG

7F
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performance analysis of tdrp and edrp for voice and video services in manet.doc

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