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OLIMPO, an ad-hoc wireless sensor network simulator for optimal scada-applications

Abstract

This paper introduces OLIMPO, an useful simulation tool for researchers who are developing wireless sensor communication protocols. OLIMPO is a discrete-event simulator design to be easily recon gured by the user, providing a way to design, develop and test communication protocols. In particular, we have designed a self-organizing wireless sensor network for low data rate. Our premise is that, due to their inherent spread location over large areas, wireless sensor networks are well-suited for SCADA applications, which require relatively simple control and monitoring. To show the facilities of our simulator, we have studied our network protocol with OLIMPO, developing several simulations. The purpose of these simulations is to demonstrate, quantitatively, the capability of our network to support this kind of applications.

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OLIMPO, an ad-hoc wireless sensor network simulator for optimal scada-applications

Author: Barbancho Concejero, Julio; Molina Cantero, Francisco Javier; León de Mora, Carlos; Ropero Rodríguez, Jorge; Barbancho Concejero, Antonio
Publisher: Acta Press
Year: 2004
Source: https://idus.us.es/bitstreams/418bed7c-0b68-4321-b1b3-5b21bd6a19a6/download
OLIMPO, AN AD-HOC WIRELESS SENSOR NETWORK
SIMULATOR FOR OPTIMAL SCADA-APPLICATIONS
J. Ba bancho, F.J. Molina, C. Le´on, J. Rope o and A. Ba bancho
Depa amen o de Tecnolog´ıa Elec ´onica, Uni e si y o Se ille,
C/ Vi gen de ´
A ica, 7, Se ille 41011, Spain
Phone.: (+034) 954 55 71 92, Fax: (+034) 954 55 28 33.
e-mail: [email p o ec ed]
ABSTRACT
This pape in oduces OLIMPO, an use ul simula ion ool
o esea che s who a e de eloping wi eless senso com-
munica ion p o ocols. OLIMPO is a disc e e-e en simula-
o design o be easily econ igu ed by he use , p o iding a
way o design, de elop and es communica ion p o ocols.
In pa icula , we ha e designed a sel -o ganizing
wi eless senso ne wo k o low da a a e. Ou p emise is
ha , due o hei inhe en sp ead loca ion o e la ge a eas,
wi eless senso ne wo ks a e well-sui ed o SCADA appli-
ca ions, which equi e ela i ely simple con ol and moni-
o ing.
To show he acili ies o ou simula o , we ha e s ud-
ied ou ne wo k p o ocol wi h OLIMPO, de eloping se -
e al simula ions. The pu pose o hese simula ions is o
demons a e, quan i a i ely, he capabili y o ou ne wo k
o suppo his kind o applica ions.
KEY WORDS
Ad-hoc wi eless senso ne wo k, mul i-hop Packe Radio
Ne wo k (PRN), E en Disc e e Schedule (EDS), ne wo k
simula o , SCADA applica ions.
1 In oduc ion
Wi eless da a ne wo ks ha e ecei ed esea ch in e es in
ecen yea s due o he desi e o connec i i y. New mul-
imedia se ices, such as Wo ld Wide Web, e-mail, and
da a ile ans e s ha e been p o ided by di e en wo king
g oups. Two e y well known examples a e he 802.11 and
he 802.15 Ins i u e o Elec ical and Elec onics Enginee s
(IEEE) wo king g oups. 802.11 has designed se e al p o-
ocols de ining he Wi eless Local A ea Ne wo k (WLAN)
s anda d [1]. 802.15 wo ks in he design o se e al s an-
da ds based on ne wo ks ha employ no ixed in as uc u e
and ha e communica ion links less han 10 me e s (known
as Pe sonal Ope a ing Space, POS) in leng h (Wi eless Pe -
sonal A ea Ne wo ks, WPAN) [2]. Bo h o ganiza ions a e
de eloping he de ini ion o p o ocols wi h da a h ough-
pu s g ea e han 100 Mb/s.
Howe e he e a e o he po en ial wi eless ne wo k
applica ions, wi h elaxed h oughpu equi emen s. These
applica ions a e indus ial con ol and moni o ing, home
au oma ion and consume elec onics, secu i y and mili-
a y sensing; asse and in en o y acking; supply chain
managemen ; in elligen ag icul u e; and heal h moni o -
ing [3]. These low-da a- a e applica ions in ol e sensing
o one o m o ano he . This is he eason why hese ne -
wo ks a e usually called wi eless senso ne wo ks, o Low-
Ra e WPANs (LR-WPANs), because hey equi e sho -
ange links wi hou a p eexis ing in as uc u e. Some o
he cha ac e is ics o an LR-WPAN a e desc ibed by he
s anda d 802.15.4 [4] and a e ela ed below:

O e - he-ai da a a es o 250 kb/s, 40kb/s, and 20 kb/s

S a o pee - o-pee ope a ion

Alloca ed 16 bi sho o 64 bi add esses

Alloca ion o gua an eed ime slo s (GTs)

Ca ie sense mul iple access wi h collision a oidance
(CSMA-CA) channel access

Fully acknowledge p o ocol o ans e eliabili y

Low powe consump ion

Ene gy de ec ion (ED)

Link quali y indica ion (LQI)

16 channels in he 2450 MHz band, 10 channels in he
915 MHz band, and 1 channel in he 868 MHz band.
We ha e ocused ou esea ch in ne wo ks ha sup-
po his kind o applica ions. In pa icula , we a e e y
in e es ed in echnologies o Au oma ic Me e Reading
unc ions (AMR) and Dis ibu ion Au oma ion (DA) o
u ili ies applica ions (wa e , gas and elec ici y) [5][6].
These applica ions a e o en dis ibu ed h oughou many
compu e s. Howe e , cus ome da a polled om senso
ne wo ks, que ies, emo e con ol o de s and ne wo k man-
agemen messages mus be p ocessed by a unique compu e
named U ili y Con olle (UC). This en i y wo ks as a mas-
e in a Supe iso y Con ol and Da a Acquisi ion (SCADA)
sys em. UC con ols and collec s da a om many emo e
uni s (senso nodes). The e a e many s udies which show
ha solu ions based on low powe adio ne wo ks a e i-
able and ha hey o e he bes cos /pe m o mance a io
[7][8][9]. Since he ea ly 90’s, adio and mic ocon olle
echnologies ha e allowed he de elopmen o sma sen-
so ne wo ks. Many esea ch g oups ha e ocused hei in-
es iga ions in he ne wo k op imiza ion. Howe e nei he
o hem ha e de elop a ne wo k o op imizing his kind o
applica ions.
The en i onmen in which we a e de eloping ou
s udy has he ollowing ea u es:

Communica ion is usually be ween nodes and he UC.

Nodes a e densely deployed wi hin he ange a ea.

Topological changes a e possible (a node can be added
o elimina ed i adio ange changes).

Nodes mus implemen mul i-hop mechanisms o le
some kind o packe s each he des iny node.

Nodes can be loca ed wi hou p e-planning.

Nodes a e p one o ailu e.

Nodes ha e no mobili y.
Ad-hoc ne wo ks a e bes sui ed o suppo hese ea-
u es. We p opose (in his pape ) a simula ion ool o s udy
a mul i-hop sel -o ganizing wi eless senso ne wo k. We
ha e called his simula o OLIMPO.
This pape is o ganized as ollows. In sec ion 2, a
b ie summa y o senso ne wo k pe o mances objec i es
is gi en. In sec ion 3, ou ne wo k p o ocol is p esen ed.
In sec ion 4, we desc ibe he OLIMPO design. In sec ion
5, he esul s o ou ne wo k simula ion o e OLIMPO a e
discussed. Concluding ema ks a e gi en in sec ion 6 and
u u e wo ks a e lis ed in sec ion 7.
The goal o his pape is o ou line he design o ou
sel -o ganizing mul i-hop ne wo k p o ocol, showing e-
sul s o se e al expe imen s made wi h ou ne wo k sim-
ula o , OLIMPO.
2 Senso Ne wo k Pe o mance Objec i es
Wi eless senso s design mus be de eloped assuming he
ollowing de ices’ cha ac e is ics:

Low powe consump ion and low supply ol age.

Low cos .

Flexibili y.

Sho ansmission ange.

Embedded p ocesso implemen ing a dis ibu ed in el-
ligence p ocess [10].

Mic oelec omechanical sys ems (MEMS), ac ua o s
and adio echnology in eg a ed in a educed space
[11].
App App App App App
Ne Machine
Rou e Ne wo k
Manage
Llc BROADCAST
MacCon ol
BROADCAST
Llc
MacCon ol
MAC
Rou ing
Table
P oximi y
Table
ST
ACK In To Base
ACK
ExR
ACK/NoF a NoACK
NoF a
Link ExR
F agmen
Collec Ala m Telecon ol Teleme y Poll a me e
LDa a.Ind
LDa a.Con
LDa a.Req
LinkQueue
LDa a.Con
LE o .Ind
LDa a.Ind
SAP 0 SAP 1 SAP 2 SAP 3
Figu e 1. OLIMPO p o ocol s ack
In ha sense, he e is a end o de elop and comme -
cialize his kind o embedded sys ems. This is he case o

an in e na ional associa ion o semi-
conduc o companies, so wa e p o ide s, sys em in eg a-
o s, and o iginal equipmen manu ac u e s (OEMs) such as
ZMD

, ATMEL

CompXs

, Mic ochip

, be onic

and chipcon

[12]. Ano he example o his end is
neuRFon

senso , om Mo o ola

Labs, a ela i e sim-
ple de ice ha has been inspi ed in senso y ecep o s o he
ne ous sys em, which a e capable o de ec ing changes in
he en i onmen due o s imuli [13].
Gi en he na u e o hese nodes, ou ne wo k mus as-
sume some limi a ions in he ne wo k pe o mance. Due
o he low adio powe (less han 100 mW), he low ba -
e y li e and he noisy RF band (Indus ial Scien i ic Band,
ISM) he da a h ough pu will be qui e low. Simula ions
made by Mo o ola

wi h his neuRFon

ne wo k show
an a e age da a h oughpu o 40 kbps wi h a aw bi a e o
250 kps [14][15]. Fu he mo e, he packe s’ mul i-hop ne-
cessi y o eaching he end, inc ease he messages la ency.
Expe imen s made by Mo o ola

wi h a neuRFon

ne -
wo k, o med by 64 nodes wi h en me e s o adio ange
and a maximal numbe o ou hops in o de o each he
end, show a messages la ency o 2.6 seconds [14][15].
Ano he e y impo an issue we ha e o conside is
he du y channel ime. This ime is closely ela ed wi h he
channel con en ion. Tha ’s why we mus conside he in lu-
ence o he design o he Medium Access Con ol (MAC)
laye on he collision e ec . Slo ed and unslo ed chan-
nel access a e p o ided in se e al MAC designs. We ha e
measu e his i em in ou simula ion.
3 Sel -O ganizing Senso Ne wo k P o ocol
and SCADA Applica ion
Many ne wo k p o ocols ha e been p oposed ecen ly
[16][17][18][19][20]. Howe e , we ha e designed a ne -
wo k p o ocol o op imize SCADA applica ions [21] [22].
We ha e ocused ou esea ch on a modi ied unslo ed
CSMA-CA channel access mechanism. Each ime a node
wishes o ansmi da a ames, i will wai o a andom
pe iod. I he channel is idle, he de ice will ansmi he
da a. I he channel is ound o be busy, he node wai s o
ano he andom pe iod be o e ying o access he channel
again.
The design has been inspi ed ollowing he ISO model
o a chi ec u e o Open Sys ems In e connec ion (OSI)
[23]. The p o ocol s ack de ined uses wo link laye s p o-
ocol as depic ed in igu e 1. Wi h his s uc u e e e y node
is capable o p ocess - ansmi and ecei e- b oadcas pack-
e s while main aining a da a link dedica ed o o he node.
I is possible o selec he ype o da a link -wi h o wi h-
ou agmen a ion- and he simul aneous numbe o hem.
Acknowledgemen se ice is a ailable.
Ou mul i-hop ne wo k p o ocol c ea es a spanning
ee logical s uc u e o e he physical opology. All nodes
de elop an algo i hm o main ain his logical backbone
whe e he oo o he ee -we e e i as base s a ion- will
ha e access o all ne wo k nodes. In addi ion, e e y node
will be able o ou e i s packe s o he base s a ion.
Nodes always know he pa h o oo h ough he pa -
en node, bu any selec ed algo i hm mus allow he oo
node (UC) o ha e an app oxima e image o cu en ee
opology. This way, packe s om nodes o he oo do
no con ain in o ma ion abou ou ing. Con e sely, mes-
sages om oo o nodes gene ally use an explici ou -
ing scheme, so packe s mus con ain in o ma ion abou he
pa h. Packe heade size mus be op imized because adio
ames should be as sho as possible o educe he ans-
mission e o a io, e ec i e bandwid h, e c.
The collec ing algo i hm is shown in igu e 2. An
applica ion laye in all he nodes ecei es he o de . This
node passes he oken o one o i s child en ( igu e 2(2)),
and wai s o a esponse. When i is ecei ed, ( igu e 2(3))
he node sends da a o he oo , and i passes he collec o -
de o he nex child ( igu e 2(4)). Only when he e a e no
mo e child en o be polled, will he node answe wi h i s
own da a ( igu e 2(6)). Only one oken is being passed be-
ween pa en and child en, so no pa h heade in o ma ion
is necessa y, and he answe oken is simul aneously low-
ing o he oo . To p e en a los oken, a imeou pe iod
gua an ees he oken passes o he nex child.
1
2
34
5
6
0
100
120 125
Token sen
Token o pa en
Da a o base s a ion
Figu e 2. Collec ing scheme
Node s uc u e
c ea ion
Global
ini ia ion
Channel
access
MAC
execu ion
Link
Manage
execu ion
Enabled
ime s
e esh
E en ?
Uppe laye
execu ion
NODE
EXECUTION
Yes
No
Figu e 3. Execu ion model o a node in an OLIMPO sim-
ula ion
Figu e 4. 127 nodes ne wo k simula ion, wi h OLIMPO
4OLIMPO, simula o design
The mo i a ion o de elop a new ne wo k simula ion ool
is he need o capabili y o ack speci ic a ic -SCADA
packe s- om one node o base s a ion h ough mul i-hops.
The e a e o he ne wo k simula o s such as OPNET [24],
ns-2 [25], WinneuRFon [17], Senso SimII [26]. Howe e
we ha e designed a new simula o based on he E en
Disc e e Schedule (EDS), o suppo ou ne wo ks appli-
ca ions o e a high numbe o senso nodes. OLIMPO
has been c ea e wi h C++ Bo land

Builde 6, c ea ing
a iendly G aphical Use In e ace (GUI).
OLIMPO is open sou ce, p o iding an use ul ool o
simula e new communica ion o applica ion p o ocols o
o he esea che s.
The cu en e sion o OLIMPO p o ide a g aph-
ical expe imen con igu a ion. Use can c ea e se e al
expe imen s changing easily he simula ion pa ame e s,
e.g.: ime s, andom p ocess, adio ange, nodes deploy-
men . . . OLIMPO also p o ide se e al simula ion modes -
MAC s ep, Logical Link Con ol (LLC) s ep, ne wo k s ep
and applica ion s ep- p o iding a way o debug p o ocols.
While execu ing he simula ion many epo s a e gene a ed
in eal ime illing a ex ile, ha is closed and sa ed when
he simula ion ends.
Figu e 3 shows he execu ion model o a node, and
igu e 4 shows he GUI c ea ed.
5OLIMPO Simula ion and Resul s
The simula ed ne wo k model includes a maximal numbe
o 127 senso nodes popula ed o e 600 me e s x 600 me-
e s a ea. The deploymen o nodes has been chosen in an
hexagonal dis ibu ion, o ming a dense ne wo k, whe e e -
e y node has a adio ange o 60 me e s and consequen ly
he e is a maximal numbe o neighbo s o 6. Figu e 4
shows he spanning ee gene a ed. Each node es ablish a
0 5 10 15 20 25 30 35 40
0
1
2
3
4
5
6
7
Numbe o nodes
A e age end- o-end delay (sec)
Figu e 5. A e age End o End Delay
logical pa en -child ela ionship wi h i s neighbo s, look-
ing o he bes pa h o he oo . The numbe abo e e e y
node ep esen s he MAC add ess. Node 0 -shown in yel-
low colo in igu e 4- is assumed o be he oo and i s adio
ange is depic ed wi h a ci cle. I ’s placed in he cen e o
he ne wo k opology.
The simula ion was gene a ed wi h a unslo ed
CSMA-CA channel access con igu a ion, and packe s wi h
and wi hou acknowledgemen . Ou objec i es we e o
measu e he pe o mance issues ela ed in sec ion 2 and
o ob ain e icien ly SCADA applica ion da a om all he
nodes.
We ha e c ea ed se e al expe imen s, inc emen -
ing he numbe o ne wo ked nodes un il 127, al hough
OLIMPO hasn’ es ic ions on he maximal numbe o ne -
wo ked nodes.
A e he simula ion we ha e ob ain some ele an e-
sul s. The ime o spanning ee c ea ion is ela ed in able
1. These imes depend on he con igu a ion imes (e.g.:
Table 1. Time o Spanning T ee C ea ion
Numbe o nodes Time o C ea ion (sec)
7 7
14 11
21 23
28 25
37 31
64 68
127 130
ime o beacon). Anyway, we conside i o be easonable
good esul because his o ma ion ime is a e y sho ime
compa ed wi h he ypical SCADA applica ion ime. A e
he spanning ee was c ea ed, we execu ed he SCADA ap-
plica ion p oposed. Da a applica ion we e collec ing by he
UC success ully, ob aining he ollowing ne wo k pe o -
mance esul s:
0 5 10 15 20 25 30 35 40
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Numbe o nodes
A e age collision ime (%)
Figu e 6. A e age Collision Time
0 5 10 15 20 25 30 35 40
0
0.5
1
1.5
2
2.5
3
3.5
4
Numbe o nodes
A e age du y ime (%)
Figu e 7. A e age Du y Time

The a e age da a packe deli e y end- o-end delay
pe o mance o 20 hou s o simula ion un ime is
shown in igu e 5. We can see ha his ime depend
di ec ly on he numbe o hops. Once we inc ease he
numbe o nodes, he numbe o hops also inc eases,
and, consequen ly, he a e age da a packe deli e y
end- o-end delay inc eases oo.

Figu e 6 shows he a e age collision ime o he all
nodes. Collision ime ne e is abo e 0.6 % o all
nodes and 1.5 % o base s a ion.

Da a h oughpu is ob ained applying he equa ion 1

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(1)
Wi h a aw bi a e o 4800 bps, we ha e ob ain a
h oughpu o app oxima ely 4655 bps.

The simula ion shows an a e age du y ime o 2.4-
3.6% as depic ed in igu e 7.
6 Conclusion
We ha e p esen ed OLIMPO, a ne wo k simula o , as an
use ul ool o de elop SCADA applica ions o e wi eless
senso ne wo ks. We ha e de eloped a ne wo k p o ocol
ha cons uc s and main ains he spanning ee.
To illus a e he capabili ies o OLIMPO, we ha e
gene a ed se e al expe imen s, p esen ing simula ion e-
sul s showing ne wo k o ma ion ime, da a packe deli -
e y esponse ime, collision ime, h oughpu and a e age
du y ime. We ha e ob ained ele an esul s o SCADA
applica ions.
7 Fu u e wo ks
Fo he p oposed simula o , we a e de eloping new p o-
ocols, such as Low Du y cycle MAC (LD-MAC), slo ed
CSMA-CA channel access, Media ion De ice (MD) p o o-
col and Dis ibu ed MD p o ocol.
Due o he good esul s, ob ained wi h OLIMPO, we
ha e begun o wo k on he implemen a ion o some SCADA
applica ions o e eal senso nodes.
Re e ences
[1] Ins i u e o Elec ical and Elec onics Enginee s.
IEEE 802.11-1999(ISO/IEC 8802-11:1999) IEEE
S anda d o In o ma ion Technology - Telecomuni-
ca ions and In o ma ion Exchange be ween Sys ems -
Local and Me opoli an A ea Ne wo ks - Speci ic Re-
qui emen s - Pa 11: Wi eless LAN Medium Access
Con ol (MAC) and Physical Laye (PHY) Speci ica-
ions. IEEE P ess, New Yo k, USA, 1999.
[2] Jos´e A. Gu i´e ez. IEEE 802.15.4: A de eloping s an-
da d o low-powe , low-cos wi eless pe sonal a ea
ne wo ks. In IEEE Ne wo k, numbe 5 in . 15, pages
12–19, New Yo k, USA, Oc obe 2001. IEEE, IEEE
P ess.
[3] D. Es in e al. Ins umen ing he wo ld wi h wi eless
senso ne wo ks. In Acous ics, Speech, and Signal
P occesing, . 4, pages 2033–2036, New Yo k, USA,
2001. IEEE, IEEE P ess.
[4] Ins i u e o Elec ical and Elec onics Enginee s.
IEEE 802.15.4-2003 IEEE S anda d o In o ma ion
Technology - Telecomunica ions and In o ma ion Ex-
change be ween Sys ems - Local and Me opoli an
A ea Ne wo ks - Speci ic Requi emen s - Pa 15.4:
Wi eless Medium Access Con ol (MAC) and Physi-
cal Laye (PHY) Speci ica ions o Low-Ra e Wi eless
Pe sonal A ea Ne wo ks (LR-WPANs). IEEE P ess,
New Yo k, USA, 2003.
[5] A. Bond. The wa e indus y (au oma ic me e ead-
ing). IEE Colloquium on ’Low Powe Radio and

Me e ing’. IEE, London, UK, (Diges No.1994/060),
1994.
[6] B. Adams and M. Philips. T ends owa ds s anda d
communica ions o me e ing. Nin h In e na ional
Con e ence on Me e ing and Ta i s o Ene gy Sup-
ply. IEE, London, UK, (Con . Publ No.462), 1999.
[7] A.M. Fox. The business case o adio based AMR.
IEE Colloquium on ’Low Powe Radio and Me e -
ing’. IEE, London, UK, (Diges No.1994/060), 1999.
[8] S. Mak and D. Rad o d. Design conside a ions o
implemen a ion o la ge scale au oma ic me e ead-
ing sys ems. IEEE T ansac ions on Powe Deli e y,
10(Diges No.1994/060), Jan 1995.
[9] F. J. Molina, M. G. Go dillo, J. Luque, and J. Ba os.
Radio ne wo k a chi ec u e o au oma ic me e ead-
ing. Con ´
e ence In e na ionale des G andes R´
eseaux
´
Elec iques, K akow POLAND, 1999.
[10] R. Es in, J. Heideman, and S. Kuma . Nex cen-
u y challenges: Scalable coodina ion in senso ne -
wo ks. In ACM/IEEE In e na ional Con e ence on
Mobile Compu ing and Ne wo king, . 5, pages 263–
270, 1999.
[11] S. Tilak, N. Abu-Ghazaleh, and W. Heinzelman. A
axonomy o wi eless mic osenso ne wo k models.
In ACM Mobile Compu ing and Communica ions Re-
iew, MC2R, 2002.
[12] Pa ick Kinney. Zigbee echnology: Wi eless con ol
ha supply wo ks. In Communica ion Design Con-
e ence. IEEE, 2003.
[13] L. Hes e , Y. Hung, O. And ic, A. Allen, and P. Chen.
neuRFon

Ne Fo m. A sel -o ganizing wi eless
senso ne wo k. 2003.
[14] Jian Huang, Yan Huang, Edga Callaway, Qicai Shi,
and Bob 0’Dea. Simula ion o a low du y cycle p o o-
col. In OPNETWORK 2001, Washing on, D.C., Au-
gus 2001.
[15] Yan Huang, Jian Huang, Lance Hes e , An hony
Allen, Oleg And ic, P iscilla Chen, and Bob 0’Dea.
Opne simula ion o a mul i-hop sel -o ganizing wi e-
less senso ne wo k. In OPNETWORK 2002, Wash-
ing on, D.C., Augus 2002.
[16] J. B och, D.A. Mal z, D. B.Johnson, Y.C. Hu, and
J. Je che a. A pe o mance compa ison o mul i-hop
wi eless ad hoc ne wo k ou ing p o ocols. MOBI-
COM, Dallas, TX, Aug 1998.
[17] Edga d H. Callaway J . Wi eless Senso Ne wo k.
AUERBACH PUBLICATIONS, Boca Ra on, USA,
2003.
[18] J. J. Ga cia-Luna-Ace es and M. Spohn. Sou ce- ee
ou ing in wi eless ne wo ks. P oc. IEEE ICNP 99,
7 h n l. Con e ence on Ne wo k P o ocols, To on o,
Canada, Oc 1999.
[19] Cou o and B Aguayo. Pe o mance o mul ihop wi e-
less ne wo ks: Sho es pa h is no enough. P oceed-
ings o he Ho Ne s, P ince on, New Je sey, Oc 2000.
[20] R.W. Heinzelman, A. Chand akasan, and H. Balak -
ishnan. Ene gy-e icien ou ingp o ocols o wi eless
mic osenso ne wo ks. In Hawaii In e na ional Con-
e ence on Sys em Sciences (HICSS ’00), Jan 2000.
[21] F ancisco J. Molina, Julio Ba bancho, and Joaqu´ın
Luque. Applica ion p o ocol o SCADA on a
wi eless me opoli an a ea ne wo k. In C.E. Palau
Sal ado , edi o , Communica ion Sys ems and Ne -
wo ks, pages 227–232, Benalm´adena, Spain, Sep em-
be 2003. IASTED, ACTA P ess.
[22] F ancisco J. Molina, Julio Ba bancho, and Joaqu´ın
Luque. Au oma ed me e eading and SCADA ap-
plica ion o wi eless senso ne wo ks. In Samuel
Pie e, Michel Ba beau, and E angelos K anakis, edi-
o s, Ad-Hoc, Mobile and Wi eless Ne wo ks, numbe
2865 in Lec u es No es in Compu e Science, pages
223–234, Mon ´eal, Canada, Oc obe 2003. ADHOC-
NOW 2003, Sp inge -Ve lag.
[23] H. Zimme mann. OSI e e ence model - he ISO
model o a chi ec u e o open sys ems in e connec-
ion. In IEEE T ans.Commun., numbe 4 in . COM-
28. IEEE, 1980.
[24] h p://www.opne .com/nsnam/ns/.
[25] h p://www.isi.edu.
[26] C. Ulme . h p://use s.ece.ga ech.edu/ g i-
mace/ esea ch/senso simii/. 2000.