Energy-aware decision-making for dynamic task migration in MEC-based unmanned aerial vehicle delivery system

Li, Rui, Li, X, Xu, J, Jiang, Frank, Jia, Z, Shao, Di, Pan, Lei and Liu, Xiao 2020, Energy-aware decision-making for dynamic task migration in MEC-based unmanned aerial vehicle delivery system, Concurrency computation, pp. 1-18, doi: 10.1002/cpe.6092.

Attached Files
Name Description MIMEType Size Downloads

Title Energy-aware decision-making for dynamic task migration in MEC-based unmanned aerial vehicle delivery system
Author(s) Li, Rui
Li, X
Xu, J
Jiang, FrankORCID iD for Jiang, Frank orcid.org/0000-0003-3088-8525
Jia, Z
Shao, Di
Pan, LeiORCID iD for Pan, Lei orcid.org/0000-0002-4691-8330
Liu, XiaoORCID iD for Liu, Xiao orcid.org/0000-0001-8400-5754
Journal name Concurrency computation
Article ID e6092
Start page 1
End page 18
Total pages 18
Publisher Wiley
Place of publication Chichester, Eng.
Publication date 2020
ISSN 1532-0626
1532-0634
Keyword(s) Science & Technology
Technology
Computer Science, Software Engineering
Computer Science, Theory & Methods
Computer Science
decision making
energy‐
awareness
mobile edge computing
tasks migration
UAV delivery system
GENETIC ALGORITHM
EDGE
PREDICTION
Notes Early View Article
Language eng
DOI 10.1002/cpe.6092
Indigenous content off
Field of Research 0801 Artificial Intelligence and Image Processing
0803 Computer Software
0805 Distributed Computing
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30145907

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: 44 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Fri, 27 Nov 2020, 00:01:50 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.