A disaster recovery system for location identification-based low power wide area networks (LPWAN) Kang, James Jin, Khodasevych, Iryna and Adibi, Sasan 2017, A disaster recovery system for location identification-based low power wide area networks (LPWAN), in ITNAC 2017 : Proceedings of the 27th International Telecommunication Networks and Applications Conference, IEEE, Piscataway, N.J., pp. 149-154, doi: 10.1109/ATNAC.2017.8215359. Attached Files Name Description MIMEType Size Downloads Title A disaster recovery system for location identification-based low power wide area networks (LPWAN) Author(s) Kang, James Jin Khodasevych, Iryna Adibi, Sasan orcid.org/0000-0002-3868-6269 Conference name International Telecommunication Networks and Applications. Conference (27th : 2017 : Melbourne, Australia) Conference location Melbourne, Australia Conference dates 2017/11/22 - 2017/11/24 Title of proceedings ITNAC 2017 : Proceedings of the 27th International Telecommunication Networks and Applications Conference Editor(s) [Unknown] Publication date 2017 Series International Telecommunication Networks and Applications Conference Conference series International Telecommunication Networks and Applications Conference Start page 149 End page 154 Total pages 6 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) Pseudo A Number (PAN) Lower Power Wide Area Network (LPWAN) Disaster Recovery System Machine to Machine (M2M) interface Disaster Recovery Assistance Agency (DRA) Science & Technology Technology Telecommunications ISBN 9781509067961 ISSN 2474-154X Language eng DOI 10.1109/ATNAC.2017.8215359 HERDC Research category E1 Full written paper - refereed ERA Research output type E Conference publication Copyright notice ©2017, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30105648 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology 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 Fri, 22 Dec 2017, 06:14:02 EST Fri, 22 Dec 2017, 06:14:46 EST Sat, 23 Dec 2017, 04:00:14 EST Mon, 15 Jan 2018, 07:41:44 EST Sat, 21 Apr 2018, 02:30:38 EST Tue, 08 May 2018, 13:37:04 EST Wed, 09 May 2018, 06:03:57 EST Wed, 09 May 2018, 15:35:09 EST Wed, 09 May 2018, 15:39:49 EST Sat, 02 Jun 2018, 02:32:12 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 7 times in Scopus Search Google Scholar Access Statistics: 249 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Tue, 08 May 2018, 13:37:04 EST

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