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Spatio-temporal estimation with Bayesian maximum entropy and compressive sensing in communication constrained networks

Rajasegarar, Sutharshan, Leckie, Christopher and Palaniswami, Marimuthu 2014, Spatio-temporal estimation with Bayesian maximum entropy and compressive sensing in communication constrained networks, in IEEE ICC 2014 : Communications: the centrepoint of the digital economy : Proceedings of the 2014 IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 4536-4541, doi: 10.1109/ICC.2014.6884036.

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Title Spatio-temporal estimation with Bayesian maximum entropy and compressive sensing in communication constrained networks
Author(s) Rajasegarar, Sutharshan
Leckie, Christopher
Palaniswami, Marimuthu
Conference name IEEE Communications Society. Conference (2014 : Sydney, New South Wales)
Conference location Sydney, N.S.W.
Conference dates 2014/06/10 - 2014/06/14
Title of proceedings IEEE ICC 2014 : Communications: the centrepoint of the digital economy : Proceedings of the 2014 IEEE International Conference on Communications
Editor(s) [Unknown]
Publication date 2014
Series IEEE Communications Society Conference
Start page 4536
End page 4541
Total pages 6
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Estimation
Temperature sensors
Bayes methods
Temperature measurement
Monitoring
Base stations
Wireless sensor networks
Compressed sensing
Science & Technology
Technology
Telecommunications
Anomaly detection
Sensor networks
ISBN 9781479920037
ISSN 1550-3607
1938-1883
Language eng
DOI 10.1109/ICC.2014.6884036
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30089645

Document type: Conference Paper
Collection: School of Information Technology
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