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. Attached Files Name Description MIMEType Size Downloads Title Spatio-temporal estimation with Bayesian maximum entropy and compressive sensing in communication constrained networks Author(s) Rajasegarar, Sutharshan orcid.org/0000-0002-6559-6736 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 Collections: School of Information Technology 2018 ERA Submission Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 29 Nov 2016, 13:14:06 EST Wed, 30 Nov 2016, 04:02:53 EST Wed, 16 Aug 2017, 12:55:18 EST Wed, 16 Aug 2017, 13:04:55 EST Thu, 17 Aug 2017, 06:03:15 EST Tue, 22 Aug 2017, 10:57:03 EST Tue, 22 Aug 2017, 10:59:52 EST Tue, 22 Aug 2017, 11:01:06 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 102 Abstract Views, 10 File Downloads  -  Detailed Statistics Created: Wed, 16 Aug 2017, 13:04:55 EST

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