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CONDENSE: A reconfigurable knowledge acquisition architecture for future 5G IoT

Abstract:

In forthcoming years, Internet of Things (IoT) will connect billions of smart devices generating and uploading a deluge of data to the cloud. If successfully extracted, the knowledge buried in the data can significantly improve the quality of life and foster economic growth. However, a critical bottleneck for realising the efficient IoT is the pressure it puts on the existing communication infrastructures, requiring transfer of enormous data volumes. Aiming at addressing this problem, we prop...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
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Name:
Academy of Finland
Grant:
282938
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Name:
Scientific and Technological Research Council of Turkey
Grant:
113E294
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Name:
Estonian Research Council
Grant:
PUT405
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Name:
Seventh Framework Programme
Grant:
316191 Innosense
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Name:
Serbia Ministry of Education, Science and Technological Development
Grant:
TR III 44003
Publisher:
Institute of Electrical and Electronics Engineers
Journal:
IEEE Access More from this journal
Volume:
4
Pages:
3360 - 3378
Publication date:
2016-07-01
Acceptance date:
2016-05-22
DOI:
ISSN:
2169-3536
Keywords:
Pubs id:
pubs:625118
UUID:
uuid:6ecc42ee-a33f-4697-bca1-2d2c7625d4dd
Local pid:
pubs:625118
Source identifiers:
625118
Deposit date:
2016-07-20

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