Latency estimation for fog-based internet of things

Li, Jianhua, Zhang, Tiehua, Jin, Jiong, Yang, Yingying, Yuan, Dong and Gao, Longxiang 2017, Latency estimation for fog-based internet of things, in ITNAC 2017: Proceedings of the 27th International Telecommunication Networks and Applications Conference, IEEE, Piscataway, N.J., pp. 1-6, doi: 10.1109/ATNAC.2017.8215403.

Attached Files
Name Description MIMEType Size Downloads

Title Latency estimation for fog-based internet of things
Author(s) Li, Jianhua
Zhang, Tiehua
Jin, Jiong
Yang, Yingying
Yuan, Dong
Gao, LongxiangORCID iD for Gao, Longxiang orcid.org/0000-0002-3026-7537
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
Start page 1
End page 6
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Fog computing
Vivaldi algorithm
ISBN 9781509067961
9781509067978
9781509067954
ISSN 2474-154X
Language eng
DOI 10.1109/ATNAC.2017.8215403
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:30107069

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 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 34 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Tue, 08 May 2018, 14:10:30 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.