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Extract from the Register of European Patents

EP About this file: EP3528433

EP3528433 - DATA ANALYSES USING COMPRESSIVE SENSING FOR INTERNET OF THINGS (IOT) NETWORKS [Right-click to bookmark this link]
StatusNo opposition filed within time limit
Status updated on  24.12.2021
Database last updated on 16.09.2024
FormerThe patent has been granted
Status updated on  15.01.2021
FormerGrant of patent is intended
Status updated on  13.08.2020
FormerRequest for examination was made
Status updated on  28.02.2020
FormerThe application has been published
Status updated on  19.07.2019
Most recent event   Tooltip13.09.2024Lapse of the patent in a contracting state
New state(s): MT		published on 16.10.2024 [2024/42]
Applicant(s)For all designated states
Tata Consultancy Services Limited
Nirmal Building 9th Floor Nariman Point Mumbai 400 021
Maharashtra / IN
[2019/34]
Inventor(s)01 / KARJEE, JYOTIRMOY
Tata Consultancy Services Limited
ODC-4, 7th Floor, H-Block
Gopalan Global Axis, (Opp.Satya Sai Hospital)
Road Number 9, KIADB Export Promotion Industrial Area
Whitelfield, Bengaluru- 560066, Karnataka / IN
02 / RATH, HEMANT KUMAR
Tata Consultancy Services Limited
Kalinga Park
Plot-35, Patia
Chandaka Industrial Estate
751024 Bhubaneswar, Odisha / IN
03 / PAL, ARPAN
Tata Consultancy Services Limited
Building 1B,Ecospace
Innovation Labs, Kolkata - STP
700160 Kolkata, West Bengal / IN
 [2019/34]
Representative(s)Goddar, Heinz J.
Boehmert & Boehmert
Anwaltspartnerschaft mbB
Pettenkoferstrasse 22
80336 München / DE
[2019/34]
Application number, filing date18177672.514.06.2018
[2019/34]
Priority number, dateIN20182100604716.02.2018         Original published format: IN201821006047
[2019/34]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP3528433
Date:21.08.2019
Language:EN
[2019/34]
Type: B1 Patent specification 
No.:EP3528433
Date:17.02.2021
Language:EN
[2021/07]
Search report(s)(Supplementary) European search report - dispatched on:EP19.12.2018
ClassificationIPC:H04L12/24, H04L12/26
[2019/34]
CPC:
H04L43/0823 (EP,US); H04L67/12 (US); H04L12/66 (US);
H04L41/147 (US); H04L43/16 (EP,US); H04L69/04 (US);
H04L43/028 (EP,US); H04L43/045 (EP,US); H04L43/0829 (US);
H04L47/127 (US); H04L49/552 (US) (-)
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2020/14]
Former [2019/34]AL,  AT,  BE,  BG,  CH,  CY,  CZ,  DE,  DK,  EE,  ES,  FI,  FR,  GB,  GR,  HR,  HU,  IE,  IS,  IT,  LI,  LT,  LU,  LV,  MC,  MK,  MT,  NL,  NO,  PL,  PT,  RO,  RS,  SE,  SI,  SK,  SM,  TR 
TitleGerman:DATENANALYSEN MIT DRUCKERFASSUNG FÜR IOT-NETZWERKE[2019/34]
English:DATA ANALYSES USING COMPRESSIVE SENSING FOR INTERNET OF THINGS (IOT) NETWORKS[2019/34]
French:ANALYSES DE DONNÉES UTILISANT UNE DÉTECTION COMPRESSIVE POUR DES RÉSEAUX D'INTERNET DES OBJETS (IDO)[2019/34]
Examination procedure21.02.2020Amendment by applicant (claims and/or description)
21.02.2020Examination requested  [2020/14]
21.02.2020Date on which the examining division has become responsible
14.08.2020Communication of intention to grant the patent
11.01.2021Fee for grant paid
11.01.2021Fee for publishing/printing paid
11.01.2021Receipt of the translation of the claim(s)
Opposition(s)18.11.2021No opposition filed within time limit [2022/04]
Fees paidRenewal fee
31.03.2020Renewal fee patent year 03
Opt-out from the exclusive  Tooltip
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Patent Court		 See the Register of the Unified Patent Court for opt-out data
Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Lapses during opposition  TooltipHU14.06.2018
AL17.02.2021
AT17.02.2021
CY17.02.2021
CZ17.02.2021
DK17.02.2021
EE17.02.2021
ES17.02.2021
FI17.02.2021
HR17.02.2021
IT17.02.2021
LT17.02.2021
LV17.02.2021
MC17.02.2021
MK17.02.2021
MT17.02.2021
PL17.02.2021
RO17.02.2021
RS17.02.2021
SE17.02.2021
SI17.02.2021
SK17.02.2021
SM17.02.2021
BG17.05.2021
NO17.05.2021
GR18.05.2021
IE14.06.2021
LU14.06.2021
IS17.06.2021
PT17.06.2021
BE30.06.2021
[2024/42]
Former [2024/23]HU14.06.2018
AL17.02.2021
AT17.02.2021
CY17.02.2021
CZ17.02.2021
DK17.02.2021
EE17.02.2021
ES17.02.2021
FI17.02.2021
HR17.02.2021
IT17.02.2021
LT17.02.2021
LV17.02.2021
MC17.02.2021
MK17.02.2021
PL17.02.2021
RO17.02.2021
RS17.02.2021
SE17.02.2021
SI17.02.2021
SK17.02.2021
SM17.02.2021
BG17.05.2021
NO17.05.2021
GR18.05.2021
IE14.06.2021
LU14.06.2021
IS17.06.2021
PT17.06.2021
BE30.06.2021
Former [2023/33]HU14.06.2018
AL17.02.2021
AT17.02.2021
CY17.02.2021
CZ17.02.2021
DK17.02.2021
EE17.02.2021
ES17.02.2021
FI17.02.2021
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LT17.02.2021
LV17.02.2021
MC17.02.2021
PL17.02.2021
RO17.02.2021
RS17.02.2021
SE17.02.2021
SI17.02.2021
SK17.02.2021
SM17.02.2021
BG17.05.2021
NO17.05.2021
GR18.05.2021
IE14.06.2021
LU14.06.2021
IS17.06.2021
PT17.06.2021
BE30.06.2021
Former [2023/30]AL17.02.2021
AT17.02.2021
CY17.02.2021
CZ17.02.2021
DK17.02.2021
EE17.02.2021
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FI17.02.2021
HR17.02.2021
IT17.02.2021
LT17.02.2021
LV17.02.2021
MC17.02.2021
PL17.02.2021
RO17.02.2021
RS17.02.2021
SE17.02.2021
SI17.02.2021
SK17.02.2021
SM17.02.2021
BG17.05.2021
NO17.05.2021
GR18.05.2021
IE14.06.2021
LU14.06.2021
IS17.06.2021
PT17.06.2021
BE30.06.2021
Former [2022/34]AL17.02.2021
AT17.02.2021
CZ17.02.2021
DK17.02.2021
EE17.02.2021
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FI17.02.2021
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IT17.02.2021
LT17.02.2021
LV17.02.2021
MC17.02.2021
PL17.02.2021
RO17.02.2021
RS17.02.2021
SE17.02.2021
SI17.02.2021
SK17.02.2021
SM17.02.2021
BG17.05.2021
NO17.05.2021
GR18.05.2021
IE14.06.2021
LU14.06.2021
IS17.06.2021
PT17.06.2021
BE30.06.2021
Former [2022/23]AL17.02.2021
AT17.02.2021
CZ17.02.2021
DK17.02.2021
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FI17.02.2021
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LT17.02.2021
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MC17.02.2021
PL17.02.2021
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RS17.02.2021
SE17.02.2021
SI17.02.2021
SK17.02.2021
SM17.02.2021
BG17.05.2021
NO17.05.2021
GR18.05.2021
IE14.06.2021
LU14.06.2021
IS17.06.2021
PT17.06.2021
Former [2022/21]AL17.02.2021
AT17.02.2021
CZ17.02.2021
DK17.02.2021
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SK17.02.2021
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BG17.05.2021
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GR18.05.2021
LU14.06.2021
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BG17.05.2021
NO17.05.2021
GR18.05.2021
PT17.06.2021
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EE17.02.2021
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FI17.02.2021
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BG17.05.2021
NO17.05.2021
GR18.05.2021
IS17.06.2021
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Former [2022/07]AL17.02.2021
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SK17.02.2021
SM17.02.2021
BG17.05.2021
NO17.05.2021
GR18.05.2021
IS17.06.2021
PT17.06.2021
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FI17.02.2021
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SM17.02.2021
BG17.05.2021
NO17.05.2021
GR18.05.2021
IS17.06.2021
PT17.06.2021
Former [2021/48]AT17.02.2021
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PL17.02.2021
RS17.02.2021
SE17.02.2021
SM17.02.2021
BG17.05.2021
NO17.05.2021
GR18.05.2021
IS17.06.2021
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Former [2021/46]AT17.02.2021
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SE17.02.2021
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Documents cited:Search[A]US2016196527  (BOSE PRASANTA [US], et al) [A] 1-15 * paragraph [0028] * * paragraph [0036] * * paragraph [0045] * * paragraph [0070] * * paragraph [0076] * * paragraph [0132] - paragraph [0133] *;
 [A]US2016379165  (MOAKLEY GEORGE P [US]) [A] 1-15 * paragraph [0022] * * paragraph [0069] - paragraph [0071] ** paragraph [0113] *;
 [I]EP3223485  (CISCO TECH INC [US]) [I] 1-15 * paragraph [0016] - paragraph [0017] * * paragraph [0019] * * paragraph [0027] - paragraph [0029] * * paragraph [0058] * * paragraph [0073] * * paragraph [0088] * * paragraph [0092] * * paragraph [0093] * * figure 11 *
by applicant   - 2010; L. BALZANO; R. NOWAK; B. RECHT, "Online Identification and Tracking of Subspaces from highly Incomplete Information", 48 Annual Allerton Conference on Communication, Control, and Computing
    - J. KARJEE; H. JAMADAGNI, "Data Accuracy Models under Spatio-Temporal Correlation with Adaptive Strategies in Wireless Sensor Networks", ACEEE Int. J. on Network Security, (20130000), vol. 4, no. 1, pages 24 - 34
    - N. PATWARI; A. O. HERO, "Using proximity and quantized RSS for sensor networks and applications", 2nd ACM international conference on Wireless sensor networks and applications, (20030000), doi:doi:10.1145/941350.941354, pages 20 - 29, XP058096367

DOI:   http://dx.doi.org/10.1145/941350.941354
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