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ENERGY EFFICIENT TARGET TRACKING IN
WSN
Supervised By: Submitted By:
Dr.Sona Malhotra Rakhi Sharma
Astt.prof. 251!"!
#$%&'(#( M.te)h*+%,
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• Wireless Sensor Network
• Location And Target Tracking In WSN
• Dissertation O!ecti"e
• #et$odolog% &sed
• 'ro(osed #et$od
• Res)lts And Anal%sis
• Concl)sion and F)t)re Sco(e
+ontents
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Wireless Sensor Network is a collection o* wireless sensor node
t$at transactions data a+ong t$e+sel"es,
A WSN t%(icall% consists o* a large n)+er o* low-cost. low (ower. and +)lti*)nctional wireless sensor nodes. wit$ sensing.
wireless co++)nications and co+()tation ca(ailities
T$e nodes $a"e "er% li+ited reso)rces s)c$ as +e+or%.co+()tational (ower. co++)nication range and +ost
i+(ortantl% atter% (ower,
Wireless Sensor Network
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• T$e +ain concern in wsn is t$at $ow location can e
acc)ratel% esti+ated wit$ less gi"en energ% eca)se
wsn nodes $a"e li+ed atter% li*e t$at can not e
irre(laceale,
• In scenario *orestcasting.s)r"eillance s%ate+ need
arises *or wsn to (er*or+ energ% e**icientl%,
+ontd.
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Locali/ation re*ers to t$e deter+ination o* t$e (osition.
relati"e or asol)te. o* a de"ice node wit$ an a((ro(riate
acc)rac%,
Locali/ation is rele"ant to t$e network +ain *)nctions0
co++)nication. cl)ster creation. network co"erage.
geogra($ical ro)ting etc,
-o)ation And &aret &ra)kin $n /S0
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In target tracking. t$e +ain goal is to trace t$e roa+ing (at$s
o* +o"ing o!ects in t$e area in w$ic$ sensors are de(lo%ed,
'role+0 t$ere are no central control +ec$anis+s in wsn and
t$e wireless co++)nication is "er% li+ited,
In a tracking scenario. in*or+ation otained *ro+ nodes *ar
awa% *ro+ t$e region o* acti"it% is o* little or no )se,
+ontd.
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A way to save energy is to switch on only asubset of the sensor nodes.
Various possible activation strategiesinclude: Naive activation Randomized activation
Selective activation based on trajectoryprediction and
uty!cycled activation.
+ontd.
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To st)d% "ario)s locali/ation +ec$anis+s in WSNs. as
deter+ining t$e location o* eac$ sensor is o* critical
i+(ortance ,
To esti+ate t$e location o* nodes wit$ less energ%
cons)+(tion eca)se wsn nodes $a"e li+ed atter% li*e,
Generation o* act)al Scenario *or testing t$e node Locali/ation
)sing 'oint In Triang)lation +et$od,
Dissertation be)tive
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O#NET11
O#NeT11 is an o!ect-oriented +od)lar discrete e"ent
network si+)lation *ra+ework, It $as a generic arc$itect)re.
so it can e 2and $as een3 )sed in "ario)s (role+ do+ains0
• +odeling o* wired and wireless co++)nication networks
•
(rotocol +odeling• +odeling o* 4)e)eing networks
Methodoloy #sed
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O#NeT11 itsel* is not a si+)lator. )t rat$er (ro"ides
in*rastr)ct)re and tools *or writing si+)lations and t$e
si+)lator as well as )ser inter*aces and tools are $ig$l%
(ortale,
O#NeT11 +odel consists o* t$e *ollowing (arts0
• NED lang)age to(olog% descri(tion2s3, T$ese are *iles wit$
t$e ,ned e5tension,
• #essage de*initions. in *iles wit$ ,+sg e5tension,• Si+(le +od)le i+(le+entations and ot$er C11 code. in ,cc
*iles 2or ,c((. on Windows3
+ontd.
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A3$&
A((ro5i+ate (oint in triang)lation +et$od considered
network o* sensors in a 6D (lane, A triang)lar network is
*or+ed i,e, t$e sensors are (laced in a triang)lar *as$ion,
Eac$ sensor is aware o* its ($%sical location and t$at o* its
neig$oring sensors, All t$e sensors $a"e a (rocessor. a
+e+or% and re4)ired $ardware to s)((ort sensing.
in*or+ation gat$ering and co++)nication ca(ailities,
3roposed Method
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Alorithm Steps:
1. Bea)on %4)hane: e"er% single WSN node s$ows a (acketto e *looded across t$e we containing t$e (ackets location,
2. 3$& testin: In t$is test. a WSN node c$ooses t$ree anc$ors
*ro+ all a)dile anc$ors and tests w$et$er it is inside t$e
triangle *or+ed % connecting t$ese t$ree anc$ors,
. A3$& areation: ,: A'IT aggregate all o* t$e triangles in
w$ic$ a node resides to deter+ine its esti+ated (osition,
". +*)enter of ravity,: Finall% COG is calc)lated to *ind
o)t t$e e5act location o* node,
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Si+)lation o* 788 nodes is done in Tken", Tken" is a G&Itool *or +onitoring si+)lation *low. *eat)ring ani+ation o*
+essage *low on network c$arts. "is)ali/ing node state
c$anges. "iewing and +an)all% c$anging state o* si+)lation
o!ects etc,
Results And Analysis
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Node Disco"er% in wsn0
Neig$or Disco"er% is a co+(onent o* locali/ation #ec$anis+
and it is done % roadcasting +essages to neig$or nodes,
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• Red)cing collisions is t$e +ain design o* A'IT +et$od,
0et6ork +ollision in Deployed 0odes:
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verall system &hrouhput:
No o* lost *ra+es 9 ::7,8 and No o* Sent Fra+es 9 ;>. t$e
total s%ste+ t$ro)g$()t is :6?,
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+hane in &otal %nery of the System Durin
Simulation:
For 788 nodes wit$ ;@ o* initial energ% total o* 788@ was
a"ailale and a*ter 78 ro)nds t$e energ% dro(s to 6
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Total A"erage End to End Dela% etween nodes is aro)nd
8,8>= seconds w$ic$ is s)**icient *or de(lo%ing real world
sensor nodes,
End to End Dela% etween nodes in seconds0
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Esti+ation Error wit$ Res(ect to ti+e co+(ared
wit$ ase (a(er 2l)e3 and 'ro(osed work A'IT
sc$e+e 2red30
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A'IT Algorit$+ $as acc)ratel% trace-ack ao)t 788 WSN
and dealt wit$ collision in t$e nodes e**ecti"el%,
T$e si+)lation res)lts s$ow t$at Bo( % Bo( 'IT trace-ack
+ec$anis+s is *easile in WSN and can (ro"ide ao)t :6,>?
o* t$ro)g$()t wit$ "er% less energ% cons)+(tion,
+on)lusion
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In *)t)re. work can e done on &nderwater Aco)stic Sensor Networks, &nderwater aco)stic sensor networks consist o*
sensors and "e$icles de(lo%ed )nderwater and networked "ia
aco)stic links to (er*or+ collaorati"e +onitoring tasks,
F)t)re work can also incl)de i+(act anal%sis o* t$e st)died
sc$ed)ling and retrans+ission tec$ni4)es on di**erent network
to(ologies s)c$ as )nderwater long linear arra%s as well as
dra*ting a g)ideline *or t$e o(ti+al )se o* re-trans+ission andTD#A. CS#A and dela%-aware sc$ed)ling tec$ni4)es )nder
di**erent circ)+stances,
7uture S)ope
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"han# $ou%.