Opportunistic data collection for IoT-based indoor air quality monitoring

Zhalgasbekova, Aigerim, Zaslavsky, Arkady, Saguna, Saguna, Mitra, Karan and Jayaraman, Prem Prakash 2017, Opportunistic data collection for IoT-based indoor air quality monitoring, in ruSMART 2017, NsCC 2017, NEW2AN 2017 : Proceedings of the 2017 10th Conference on Internet of Things and Smart Spaces, the Third International Workshop on Nano-scale Computing and Communications and the 17th International Conference on Next Generation Wired/Wireless Networking, Springer, Cham, Switzerland, pp. 53-65, doi: 10.1007/978-3-319-67380-6_5.

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Title Opportunistic data collection for IoT-based indoor air quality monitoring
Author(s) Zhalgasbekova, Aigerim
Zaslavsky, ArkadyORCID iD for Zaslavsky, Arkady orcid.org/0000-0003-1990-5734
Saguna, Saguna
Mitra, Karan
Jayaraman, Prem Prakash
Conference name IEEE Communications Society Russia Northwest Chapter. Conference (2017 : St. Petersburg, Russia)
Conference location St. Petersburg, Russia
Conference dates 2017/08/28 - 2017/08/30
Title of proceedings ruSMART 2017, NsCC 2017, NEW2AN 2017 : Proceedings of the 2017 10th Conference on Internet of Things and Smart Spaces, the Third International Workshop on Nano-scale Computing and Communications and the 17th International Conference on Next Generation Wired/Wireless Networking
Editor(s) Galinina, Olga
Andreev, Sergey
Balandin, Sergey
Koucheryavy, Yevgeni
Publication date 2017
Series IEEE Communications Society Russia Northwest Chapter Conference
Start page 53
End page 65
Total pages 13
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) Internet of Things (IoT)
Opportunistic Sensing (OppS)
Analytic Hierarchy Process (AHP)
Indoor Air Quality (IAQ) monitoring
ISBN 9783319673790
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-67380-6_5
Field of Research 08 Information And Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2017, Springer International Publishing AG
Persistent URL http://hdl.handle.net/10536/DRO/DU:30115297

Document type: Conference Paper
Collection: School of Information Technology
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