P ep in
Applica ions o Mul ipoin Dis ibu ed Fibe Op ic
Senso s o Moni o ing in C i ical Sys ems
J.A. Flo es-B a o, Jes´
us L´
aza o, Ca los Cuad ado,
Ai zol Zuloaga, and A mando As a loa
Depa men o Elec onic Technology, Facul y o Enginee ing
Uni e si y o he Basque Coun y (UPV/EHU)
Bilbao, Spain
Email: josea. lo esb a [email p o ec ed]
Abs ac —Mul ipoin Dis ibu ed Fibe Op ic Senso s (DFOS)
ha e eme ged as a ans o ma i e echnology o moni o ing
c i ical sys ems ac oss di e se indus ies, including ae ospace,
ene gy, en i onmen al and in as uc u e sec o s. These senso s
le e age ad anced op ical echniques, such as Rayleigh, B illouin,
Raman sca e ing, and in e e ome y, o p o ide high- esolu ion
eal- ime da a o e as dis ances. When in eg a ed wi h edge
compu ing sys ems, DFOS achie es enhanced eal- ime da a
p ocessing capabili ies, allowing e icien moni o ing o mul iple
pa ame e s such as empe a u e, s ain, p essu e, and ib a ion
simul aneously and a disc e e loca ions. This in eg a ion is
pa icula ly bene icial o c i ical applica ions ha equi e apid
esponse imes and obus pe o mance in ex eme en i onmen s.
This pape p esen s a compa a i e analysis o mul ipoin
DFOS a chi ec u es ac oss di e se c i ical sys ems. In oduces
a c oss-sec o echnical e alua ion based on key pe o mance
me ics, including spa ial esolu ion, la ency, and ene gy con-
sump ion. P o ides ac ionable insigh s o ma ching senso ech-
nologies wi h applica ion-speci ic equi emen s in ae ospace, ci il
in as uc u e, indus ial au oma ion, en i onmen al moni o ing,
anspo , and chemical p ocess con ol. This wo k p oposes a
no el in eg a ion amewo k ha combines DFOS wi h edge
compu ing a chi ec u es o imp o e esponsi eness, scalabili y,
and ene gy e iciency. This ision se s he ounda ion o nex -
gene a ion inno a i e sensing sys ems ha suppo eal- ime
decision making in c i ical en i onmen s.
Index Te ms—Dis ibu ed ibe op ic senso s, c i ical sys ems,
edge compu ing.
I. INTRODUCTION
The demand o ad anced moni o ing solu ions capable o
ope a ing unde challenging condi ions has been d i en by
mode n enginee ing sys ems and s ic sa e y, e iciency, and
sus ainabili y equi emen s. C i ical sec o s such as ae ospace,
ene gy, en i onmen al managemen , and in as uc u e equi e
inno a i e sensing echnologies ha ensu e accu a e, eal- ime,
low-cos moni o ing wi hou comp omising obus ness and
ope a ional e iciency. In his con ex , DFOS ha e eme ged
as a e olu iona y solu ion, o e ing unique capabili ies o
moni o physical pa ame e s such as empe a u e [1], s ain
This wo k has been suppo ed by ‘Minis e io de Asun os Econ´
omicos y
T ans o maci´
on Digi al’ and ‘Union Eu opea-Nex Gene a ionEU’ h ough he
C´
a ed as Chip p og am, SOC4SENSING TSI-069100-2023-0004, by Basque
Go e nmen wi hin he und o esea ch g oups o he Basque uni e si y
sys em IT1440-22, S4C-II KK-2025/00013 and FIRMAR KK-2025/00073 and
by ‘Minis e io de Ciencia, Inno aci´
on y Uni e sidades’ (PID2024-157752OB-
I00 inanciado po MICIU/AEI/10.13039/501100011033/FEDER, UE).
[2], p essu e [3], and ib a ion [4] [5], e en o e long dis ances
and in ex eme en i onmen s.
One o he main ad an ages o DFOS is hei in insically
obus design, which p o ides supe io esis ance o co osion,
elec omagne ic in e e ence, and ha sh en i onmen al condi-
ions. In addi ion, hei low weigh and compac size make
hem an ideal choice o ae ospace and ene gy applica ions,
whe e space and weigh cons ain s a e c i ical ac o s. How-
e e , in eg a ing DFOS wi h edge compu ing echnologies sig-
ni ican ly ampli ies hei po en ial, enabling he decen alized,
eal- ime p ocessing o la ge olumes o da a. This app oach
educes la ency, imp o es sys em e iciency, and acili a es
c i ical decision-making in high-demand applica ions.
This pape examines he key applica ions o mul ipoin
DFOS o c i ical sys em moni o ing, highligh ing he impac
o hei in eg a ion wi h edge compu ing. This analysis seeks
o highligh he ans o ma i e ole o DFOS in he design o
sa e, e icien , and sus ainable moni o ing solu ions o c i ical
sys ems.
II. PRINCIPLES OF MULTIPOINT DISTRIBUTED FIBER
OPTIC SENSORS
DFOS ope a e based on he p inciple o ligh p opaga ion
h ough op ical ibe s, whe e in e ac ions be ween ligh and
he su ounding en i onmen allow o p ecise measu emen s
o physical pa ame e s. Wi hin DFOS echnology, wo main
ca ego ies a e widely de eloped:
A. Dis ibu ed Technologies
Op ical ibe ope a es as a dis ibu ed senso , shi ing away
om he classical concep o a disc e e measu emen poin
o enable he acquisi ion o mul iple spa ially dis ibu ed mea-
su emen s along he ibe leng h. Rayleigh sca e ing measu es
s ain and empe a u e by analyzing changes in backsca e ed
ligh in ensi y [6]. Dis ibu ed Acous ic Sensing (DAS) is an
ad anced op ical ibe echnique ha uses Rayleigh backsca -
e ing o o e eal- ime moni o ing and da a collec ion ac oss
a wide ange o applica ions [7]. B illouin sca e ing enables
he de e mina ion o s ain and empe a u e h ough equency
shi s in backsca e ed ligh [8]. Raman sca e ing is p ima ily
applied o empe a u e sensing by examining he in ensi y
a io o an i-S okes and S okes componen s [9, 10].
This documen is he Manusc ip e sion o a con e ence pos e o be p esen ed a he XL Con e ence on Design o Ci cui s and In eg a ed Sys ems, 26-28
No embe , 2025, San ande , Spain
P ep in
B. Quasi-dis ibu ed Technologies
These sys ems a e based on ibe g a ing senso s (long-
pe iod ibe g a ings) [11, 12], il ed ibe B agg g a ings
(FBG) [13]), ibe in e e ome e s [14, 15, 16], and su ace
plasmon esonance (SPR) [17, 18]. In hese cases, he sensi i e
elemen is a he ip o he ibe , which makes he ibe
sensi i e only a hese poin s, allowing many o hese sensi i e
elemen s o be insc ibed along he same ibe , hus ob aining a
quasi-dis ibu ed sys em. Senso s can be designed o measu e
accele a ion, ib a ion, p essu e, inclina ion, displacemen , o
e en co osion, pH, and o he pa ame e s.
III. DFOS IN CRITICAL SYSTEMS
This sec ion p o ides a de ailed o e iew o he applica-
ions o dis ibu ed ibe op ic senso s in c i ical sys ems. I
highligh s hei ole in he eal- ime moni o ing o essen ial
pa ame e s such as ib a ion, impac , empe a u e, p essu e,
and de o ma ion. These senso s a e ans o ming mul iple
sec o s, including ci il in as uc u e, ae ospace, indus ial
au oma ion, en i onmen al moni o ing, and anspo a ion, by
imp o ing sa e y, pe o mance, and ope a ional e iciency. Ta-
ble I p esen s a de ailed analysis o hei applica ions in hese
domains, ocusing on speci ic equi emen s such as la ency,
obus ness, and esolu ion.
In ci il in as uc u e, moni o ing b idges, unnels, dams,
and buildings is c ucial o p e en s uc u al ailu es. Ap-
plica ions such as ib a ion moni o ing in b idges equi e
la encies below 1 ms o assess dynamic loads and esonance
e ec s in eal- ime [19]. Simila ly, c ack de ec ion in unnels
and building se lemen e alua ion equi e high p ecision (0.1
mm - 0.5 mm) o iden i y ea ly-s age de o ma ions be o e
comp omising s uc u al in eg i y [20, 21]. Robus ness is es-
sen ial in hese sys ems, as senso s mus wi hs and ex eme
empe a u e, humidi y, and p essu e condi ions, pa icula ly
in ou doo o unde g ound en i onmen s. Fu he mo e, in
moni o ing dams and ese oi s, senso s mus ope a e eliably
unde high hyd os a ic p essu es (±0.1 MPa) o p e en leaks
and s uc u al ailu es [22].
Ene gy consump ion is ano he c i ical ac o , pa icula ly
o senso s deployed in emo e loca ions. Low-powe and au-
onomous solu ions, in eg a ed wi h edge compu ing, minimize
main enance equi emen s and op imize eal- ime decision-
making wi hou elying on ex e nal communica ion in as uc-
u e.
In indus ial au oma ion, senso s a e c ucial o p edic i e
main enance and p ocess op imiza ion. Applica ions such as
ib a ion moni o ing in machine y equi e la encies below 1
ms and esolu ions as ine as 0.1 Hz, enabling ea ly de ec-
ion o mechanical ailu es be o e hey lead o ope a ional
down ime [23]. Simila ly, empe a u e con ol in manu ac-
u ing p ocesses demands high accu acy (0.1°C) o ensu e
consis en p oduc quali y [24]. Robus ness is i al in indus ial
en i onmen s, whe e senso s a e exposed o high empe a u es,
p essu e a ia ions, and co osi e chemicals. Fo example, in
p essu e moni o ing in indus ial pipelines, whe e p essu e
can each up o 100 MPa, senso s mus be highly du able
and main ain long- e m accu acy [25]. Ene gy consump ion
is a key conce n in sma ac o ies and connec ed indus ial
en i onmen s. The in eg a ion o senso s wi h edge compu ing
educes da a ansmission and powe usage while enhancing
moni o ing e iciency wi hou comp omising p oduc i i y.
En i onmen al moni o ing g ea ly bene i s om ibe op ic
senso s, pa icula ly in applica ions such as ai quali y su eil-
lance, g oundwa e le el moni o ing, and soil mois u e de ec-
ion. In hese cases, la ency is less c i ical (≤0.10 ms), bu
measu emen accu acy and long- e m s abili y a e pa amoun .
Fo example, ai quali y moni o ing equi es measu emen s o
concen a ion le els up o 500 ppm wi h a esolu ion o 1
ppm [26]. In con as , moni o ing g oundwa e le el equi es
a esolu ion o 0.1 cm o de ec mino luc ua ions [27].
Senso s o en i onmen al applica ions mus be highly, obus
as hey ope a e unde ha sh condi ions, including humidi y,
sola adia ion, and empe a u e luc ua ions. In soil mois u e
de ec ion o ag icul u al applica ions, senso s mus measu e
alues be ween 0% and 100% mois u e con en wi h high p e-
cision o ensu e e icien and sus ainable i iga ion p ac ices.
Ene gy consump ion is a signi ican conside a ion, as hese
senso s a e o en deployed in emo e o u al a eas, whe e
equen main enance is imp ac ical.
In au onomous ehicles, eal- ime moni o ing o suspension
sys ems, ba e y empe a u e, chassis in eg i y, and wheel po-
si ioning is c ucial o ensu ing sa e and e icien ope a ion. In
hese applica ions, la ency mus be excep ionally low (<1 ms
o 10 ms) o espond ins an ly o changes in ehicle dynamics
[28]. Robus ness is c i ical, as senso s mus wi hs and high
ib a ions, ex eme empe a u e a ia ions (-40°C o 85°C),
and exposu e o dus o mois u e. Fo example, p ecise con ol
wi h a esolu ion o 0.1°C is essen ial in ba e y empe a u e
moni o ing, as o e hea ing can comp omise sys em sa e y
[29]. Ene gy consump ion is a c ucial challenge in his sec o ,
as au onomous ehicles ely on limi ed ene gy esou ces.
The in eg a ion o senso s wi h edge compu ing minimizes
powe demand by p ocessing da a locally, op imizing esou ce
managemen , and ex ending ba e y li e.
In he chemical indus y, moni o ing p essu e, empe a u e,
mechanical s ain, and low a e in pipelines and eac o s
ensu es sa e y and ope a ional e iciency. Applica ions such
as p essu e moni o ing in chemical eac o s equi e la encies
below 1 ms and p essu e anges up o 100 MPa, enabling
immedia e esponses o c i ical p ocess luc ua ions [30]. Ro-
bus ness is key, as senso s mus ope a e in highly co osi e
en i onmen s wi h ex eme empe a u es and p essu es. Fo
example, long- e m s abili y is necessa y o main ain p ocess
quali y in empe a u e moni o ing in dis illa ion columns,
whe e measu emen anges ex end om -50°C o 300°C.
Ene gy consump ion is ano he challenge in chemical plan s.
Fibe op ic senso s combined wi h edge compu ing can educe
he need o cons an da a ansmission, op imize ene gy
esou ces, and enhance ope a ional sa e y.
In ae ospace, ensu ing sa e y, ope a ional e iciency, and
op imal pe o mance necessi a es deploying ad anced moni-
o ing and diagnos ic echnologies. Many ae ospace applica-
P ep in
ions demand ul a-low la ency o ensu e immedia e esponse
o c i ical condi ions. Fo ins ance, ocke engine ib a ion
moni o ing equi es a la ency o less han 1 ms o 5 ms
o de ec esonances and p e en ca as ophic ailu es [31].
Simila ly, impac de ec ion due o mic ome eo oids mus op-
e a e wi h sub-millisecond la ency o iden i y o bi al damage
and in o m co ec i e ac ions be o e sys em ailu e [32].
O he applica ions, such as sa elli e he mal con ol and sola
panel de o ma ion moni o ing, ha e ela i ely highe la ency
ole ances (10 ms - 50 ms) due o he slowe na u e o he mal
dynamics and mechanical de o ma ions. The mal con ol in
c yogenic sys ems equi es senso s capable o accu a ely mea-
su ing empe a u es anging om -200°C o 700°C, essen ial
o ocke p opulsion sys ems and uel s o age [33]. Likewise,
wing a igue moni o ing in ol es measu ing s ain up o
±10,000 µε in ai c a wings, ensu ing ea ly de ec ion o mi-
c oc acks and ma e ial deg ada ion o e ime [34]. FBG senso
echnology signi ican ly educes ene gy demands compa ed
o adi ional elec onic senso s by le e aging op ical ibe
ne wo ks equi ing minimal da a acquisi ion and ansmission
powe .
IV. INTEGRATION OF DFOS WITH EDGE COMPUTING
ARCHITECTURES
The g owing demand o high- esolu ion eal- ime moni o -
ing in c i ical sys ems p esen s new challenges ela ed o da a
olume, p ocessing la ency, and ene gy consump ion. DFOS
capable o cap u ing ich spa io- empo al da a ac oss ex ended
in as uc u es, equi e e icien da a managemen s a egies
o a oid bo lenecks in cen alized p ocessing a chi ec u es
[45]. To add ess his, in eg a ing DFOS wi h edge compu -
ing a chi ec u es eme ges as a ans o ma i e app oach ha
signi ican ly enhances sys em esponsi eness, scalabili y, and
ene gy e iciency.
T adi ional DFOS sys ems ely on cen alized da a ac-
quisi ion and p ocessing uni s, which can in oduce la ency,
inc ease communica ion o e head, and limi scalabili y, espe-
cially in geog aphically dis ibu ed o emo e deploymen s. By
shi ing da a p ocessing close o he sensing poin s h ough
edge compu ing nodes, DFOS sys ems:
•Reduce la ency by pe o ming eal- ime signal p ocessing
and anomaly de ec ion a he ne wo k edge.
•Lowe da a ansmission equi emen s by il e ing, com-
p essing, o summa izing da a be o e sending i o he
cloud o con ol cen e s.
•Imp o e ene gy e iciency by minimizing he need o
high-bandwid h, con inuous da a s eaming.
•Enhance scalabili y by suppo ing dis ibu ed a chi ec-
u es wi h mul iple independen o semi-au onomous
sensing nodes.
Fig. 1 Shows he concep ual diag am o he p oposed
a chi ec u e o DFOS in eg a ed wi h edge compu ing o eal-
ime moni o ing [29]. The a chi ec u e is o ganized in o h ee
laye s:
•Sensing Laye , which comp ises mul ipoin DFOS ele-
men s (Rayleigh, B illouin, FBG, e c.) dis ibu ed along
Fig. 1. Edge compu ing DFOS A chi ec u e o Real-Time Moni o ing in
C i ical Sys ems.
op ical ibe s, cap u es eal- ime da a on pa ame e s such
as s ain, empe a u e, p essu e, and ib a ion ac oss
c i ical in as uc u es.
•Loca ed physically close o he sensing laye , his laye
in eg a es in e oga ion wi h unable lase s and pho-
ode ec o s o signal acquisi ion. Sys em-on-Chip (SoC)
based p ocessing uni s pe o m signal spec al analy-
sis, local anomaly de ec ion using h esholding o ma-
chine lea ning algo i hms. This laye ensu es low-la ency,
ene gy-e icien p ocessing, signi ican ly educing da a
ansmission loads.
•Cloud In eg a ion Laye . This laye p o ides long- e m
da a s o age, c oss-sys em analy ics, and emo e i-
sualiza ion. I ecei es p ocessed e en s o summa-
ized da ase s om mul iple edge nodes, enabling lee -
wide moni o ing, p edic i e main enance, and s a egic
decision-making.
Fig. 2. DFOS In e oga o p oposed in [42]
Fig. 2 Shows he unc ional diag am o he DFOS in e -
oga ion Uni (IU), designed o as and p ecise moni o ing
o FBG senso s. The IU suppo s up o six edundan op ical
channels, enabling he in e oga ion o up o 120 senso s wi h
p o ec ion agains single-poin ibe ailu es. I s a chi ec u e
balances high-speed pe o mance and powe e iciency, in e-
g a ing key componen s such as a powe supply, con ol imple-
P ep in
TABLE I
APPLICATIONS IN CRITICAL SYSTEMS.
C i ical Sys-
em
Applica ion La ency Range Resolu ion Desc ip ion Re .
Ci il
In as uc u e
Vib a ion moni o ing in
b idges
<1 ms 0 Hz – 1 kHz, 0.1 Hz Real- ime e alua ion o dynamic loads and es-
onances in b idge s uc u es.
[19]
C ack de ec ion in unnels <10 ms 0.1 mm – 100
mm
0.1 mm Iden i ica ion o de o ma ions and c acks in un-
nels caused by se lemen s o ec onic s esses.
[20]
Moni o ing o dams and
ese oi s
<10 ms 0 MPa – 10 MPa ±0.1 MPa Real- ime p essu e con ol and leakage de ec ion
o p e en s uc u al ailu es.
[21]
Se lemen e alua ion in
buildings
<1 ms up o 10 cm 0.5 mm Moni o ing o di e en ial displacemen s and de-
o ma ions in c i ical u ban s uc u es.
[22]
Indus ial
Au oma ion
Vib a ion moni o ing in
machine y
<1 ms 0 Hz – 10 kHz 0.1 Hz Real- ime moni o ing o machine y ib a ions
o p edic i e main enance.
[23]
Tempe a u e con ol in
manu ac u ing p ocesses
<10 ms -200°C o 500°C, 0.1°C Accu a e empe a u e moni o ing in p oduc ion
lines o ensu e consis en p oduc quali y.
[24]
P essu e moni o ing in
pipelines
<10 ms 0 MPa o 100
MPa
±0.1 MPa Moni o ing p essu e in pipelines and anks o
leak de ec ion and sys em in eg i y.
[25]
S ain moni o ing in s uc-
u al componen s
<1 ms up o 1000µm 0.5 µm De ec ing s uc u al s ain in hea y machine y
and ac o y in as uc u e.
[35]
En i onmen al
Moni o ing
Ai quali y moni o ing <10 ms 0 - 500 ppm 1 ppm Con inuous ai quali y moni o ing in u ban and
indus ial en i onmen s o de ec pollu an s.
[26]
G oundwa e le el moni-
o ing
<1 ms 0 o 100 m 0.1 cm Moni o ing g oundwa e le els in wells and un-
de g ound ese oi s.
[27]
Soil mois u e de ec ion <10 ms 0 - 100 m 0.1 cm Measu ing soil mois u e con en o ag icul u al
and en i onmen al esea ch.
[36]
S uc u al heal h moni o -
ing o dams
<10 ms up o 1000 µm 0.5 µm De ec ing s ain and s uc u al de o ma ions in
dams and le ees o p e en ailu e.
[21]
T anspo
(Au onomous
Vehicles)
Vib a ion moni o ing o
ehicle suspension
<1 ms 0 Hz - 1000 Hz 1 Hz Moni o ing ib a ions in he ehicle suspension
sys em o sa e y and pe o mance analysis.
[28]
S uc u al in eg i y moni-
o ing o he chassis
<10 ms up o 1000 µm 0.5 µm De ec ing s uc u al de o ma ions o c acks in
he ehicle’s chassis du ing ope a ion.
[37]
Tempe a u e moni o ing
o ba e y sys ems
<1 ms -40°C o 85°C 0.1°C Moni o ing ba e y empe a u e in elec ic au-
onomous ehicles o p e en o e hea ing o
ailu e.
[29]
Wheel posi ion and mo e-
men moni o ing
<10 ms up o 500 mm 0.1 mm De ec ing mo emen and posi ion o he wheels
in au onomous ehicles o p ecise na iga ion.
[38]
Chemical
P ocess
Con ol
P essu e moni o ing in e-
ac o s
<1 ms 0 MPa - 100 MPa 0.1 MPa Con inuous p essu e moni o ing in chemical e-
ac o s o ensu e sa e y and op imal p ocess con-
di ions.
[30]
Tempe a u e moni o ing
in dis illa ion columns
<10 ms -50°C o 300°C 0.1°C Moni o ing empe a u e in dis illa ion p ocesses
o p ecise con ol and quali y o he ou pu .
[39]
S ain moni o ing o eac-
o essels
<1 ms up o 2000 µm 0.5 µm De ec ing s ain o de o ma ions in eac o es-
sels o p e en s uc u al ailu e.
[40]
Flow a e moni o ing in
pipelines
<10 ms 0 o 100 L/min 0.1 L/min Moni o ing low a e in chemical pipelines o op-
imize p oduc ion and ensu e smoo h ope a ion.
[41]
Ae oespace
Wing Fa igue Moni o ing 1 ms -
10 ms
±10,000 µε ±10,000 µε Real- ime de ec ion and analysis o mic oc acks
and s uc u al a igue in ai c a wings.
[34]
The mal Con ol in C yo-
genic Sys ems
5 ms -
50 ms
-200 °C o 700
°C
0.1 °C Tempe a u e moni o ing in c yogenic ocke en-
gine sys ems and p opellan s o age.
[33]
Rocke Engine Vib a ion
Moni o ing
<1ms -
5 ms
1 Hz - 100 kHz 1 Hz Moni o ing ib a ions and esonances in engines
o p e en ca as ophic ailu es.
[31]
Sa elli e The mal Moni-
o ing
10ms -
50 ms
-150 °C o 150
°C
±0.5 °C Con ol o empe a u e dis ibu ion in sa elli es
o p e en o e hea ing.
[42]
Fuselage Impac De ec-
ion
<10 ms 1 g – 100 g <1 g De ec ion o impac s on ai c a uselages o
immedia e damage assessmen .
[43]
Sola Panel Moni o ing 10 ms -
50 ms
0.1 m – 10 km m o km Moni o ing de o ma ions in sa elli e sola panels
o p e en loss o unc ionali y.
[44]
Impac De ec ion by Mi-
c ome eo oids
<1 ms 1 g – 100 g <1 g De ec ion o mic ome eo oid impac s on sa el-
li es and spacec a , c i ical o assessing o bi al
damage.
[32]
P ep in
men ed FPGA, single sideband (SSB) in e ace, pho odiodes,
acquisi ion elec onics, unable lase , and an in e nal op ical
ne wo k, ensu ing eliable, low-la ency, and ene gy-e icien
ope a ion [42].
V. CHALLENGES AND FUTURE PERSPECTIVES
DFOS ha e excep ional po en ial o moni o ing c i ical
sys ems; howe e , se e al echnical challenges mus be ad-
d essed o acili a e b oade adop ion and in eg a ion. The
main challenges:
•Powe : Minimizing he powe demand o DFOS sys-
ems is a key p io i y, especially o deploymen in
esou ce-cons ained en i onmen s such as ae ospace o
emo e moni o ing applica ions. Ad ances in ene gy-
e icien ligh sou ces and he de elopmen o op imized
signal p ocessing algo i hms a e essen ial o mi iga e his
limi a ion.
•Robus ness: DFOS equi es imp o emen s in du abili y o
wi hs and mechanical shock, se e e he mal luc ua ions,
and high- ib a ion scena ios. Inno a ions in ad anced
ibe ma e ials and encapsula ion echniques will be nec-
essa y o imp o e hei long- e m eliabili y unde such
condi ions.
•Minia u iza ion: Reducing size and weigh emains a ma-
jo challenge, pa icula ly in applica ions whe e space and
mass cons ain s a e c i ical, such as ae ospace sys ems.
Resea ch should ocus on minia u izing in e oga ion
uni s and associa ed ancilla y componen s, o ensu e ha
hese educ ions do no comp omise accu acy o de ec ion
pe o mance.
•Cos : The high p oduc ion and deploymen cos s cu en ly
limi la ge-scale adop ion. De eloping cos -e ec i e man-
u ac u ing me hods and al e na i e ma e ials is essen ial.
•Spa ial Resolu ion: Enhancing spa ial esolu ion o de ec
ine changes along he ibe is c i ical o imp o ing he
accu acy o moni o ing applica ions.
Fu u e ad ancemen s in DFOS echnology will likely
eme ge om he in eg a ion o ad anced ma e ials, sophis-
ica ed signal p ocessing algo i hms, and minia u ized SoC
sys ems. Addi ionally, inco po a ing machine lea ning and
a i icial in elligence in o da a analysis wo k lows holds g ea
p omise in imp o ing he unc ionali y and e iciency o DFOS
sys ems while educing ope a ional cos s.
CONCLUSIONS
DFOS ep esen an ad anced and highly e sa ile echnolog-
ical solu ion o moni o ing c i ical sys ems. Thei capabili y
o deli e p ecise, eal- ime measu emen s, e en in ex eme
en i onmen s, makes hem indispensable ools o ensu ing
sa e y and op imizing ope a ional e iciency ac oss a ious
indus ies.
In eg a ing DFOS wi h cu ing-edge echnologies, such as
edge compu ing, signi ican ly enhances hei pe o mance. By
p ocessing la ge olumes o da a locally, edge compu ing im-
p o es esponsi eness and enables immedia e decision-making
in applica ions whe e low la ency is a c i ical ac o . This
syne gy pa es he way o mo e agile, obus , and adap able
solu ions in c i ical sec o s.
ACKNOWLEDGMENT
This wo k has been suppo ed by ‘Minis e io de Asun os
Econ´
omicos y T ans o maci´
on Digi al’ and ‘Union Eu opea-
Nex Gene a ionEU’ h ough he C´
a ed as Chip p og am,
SOC4SENSING TSI-069100-2023-0004, by Basque Go e n-
men wi hin he und o esea ch g oups o he Basque uni e -
si y sys em IT1440-22, S4C-II KK-2025/00013 and FIRMAR
KK-2025/00073 and by ‘Minis e io de Ciencia, Inno aci´
on y
Uni e sidades’ (PID2024-157752OB-I00 inanciado po MI-
CIU/AEI/10.13039/501100011033/FEDER, UE).
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