Network traffic prediction based on deep belief network in wireless mesh backbone networks

Nie, Laisen, Jiang, Dingde, Yu, Shui and Song, Houbing 2017, Network traffic prediction based on deep belief network in wireless mesh backbone networks, in WCNC 2017 : Proceedings of the IEEE Wireless Communications and Networking Conference, IEEE, Piscataway, N.J., pp. 1-5, doi: 10.1109/WCNC.2017.7925498.

Attached Files
Name Description MIMEType Size Downloads

Title Network traffic prediction based on deep belief network in wireless mesh backbone networks
Author(s) Nie, Laisen
Jiang, Dingde
Yu, ShuiORCID iD for Yu, Shui orcid.org/0000-0003-4485-6743
Song, Houbing
Conference name Wireless Communications and Networking. Conference (2017 : San Francisco, California)
Conference location San Francisco, California
Conference dates 2017/03/19 - 2017/03/22
Title of proceedings WCNC 2017 : Proceedings of the IEEE Wireless Communications and Networking Conference
Publication date 2017
Conference series Wireless Communications and Networking Conference
Start page 1
End page 5
Total pages 5
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Science & Technology
Technology
Computer Science, Hardware & Architecture
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
ISBN 9781509041831
ISSN 1525-3511
Language eng
DOI 10.1109/WCNC.2017.7925498
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:30098816

Document type: Conference Paper
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 13 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 170 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Mon, 20 Nov 2017, 18:17:32 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.