Edge cloud resource-aware flight planning for unmanned aerial vehicles |
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Author: | Bekkouche, Oussama1; Taleb, Tarik1,2; Bagaa, Miloud1; |
Organizations: |
1Communications and Networking Department, Aalto University, Finland 2Centre for Wireless Communications, University of Oulu, Finland 3Nokia Bell Labs, Munich, Germany |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.6 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe202003117903 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2019
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Publish Date: | 2020-03-11 |
Description: |
AbstractUnmanned Aerial Vehicles (UAVs) can offer a plethora of applications, provided that the appropriate ground control and complementary computing and storage services are available in close proximity. To accomplish this, edge cloud platforms, deployed at or close to the base stations, are essential. However, current UAV travel planning does not take into account the resource constraints of such edge cloud platforms. This paper introduces an aligned process for UAV flight planning and networking resource allocation, minimizing the total traveled distance. It proposes two solutions, namely (i) a Multi-access Edge Computing (MEC)-Aware UAVs’ Path planning (MAUP) based on integer linear programming and (ii) an Accelerated MAUP (AMAUP), i.e., a heuristic and scalable approach that adopts the shortest weighted path algorithm considering directed graphs. The performance of the two solutions are evaluated using computer-based simulations and the obtained results demonstrate the effectiveness of the two solutions in achieving their design goals. see all
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Series: |
IEEE Wireless Communications and Networking Conference |
ISSN: | 1525-3511 |
ISSN-E: | 1558-2612 |
ISSN-L: | 1525-3511 |
ISBN: | 978-1-5386-7646-2 |
ISBN Print: | 978-1-5386-7647-9 |
Pages: | 1 - 7 |
DOI: | 10.1109/WCNC.2019.8886000 |
OADOI: | https://oadoi.org/10.1109/WCNC.2019.8886000 |
Host publication: |
2019 IEEE Wireless Communications and Networking Conference (WCNC), 15-18 April 2019, Marrakesh, Morocco |
Conference: |
IEEE Wireless Communications and Networking Conference |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
This work is partially supported by the 6G Flagship with grant agreement No. 318927, and by the European Unions Horizon 2020 research and innovation program under the Primo-5G project with grant agreement No. 815191. It is also supported in part by the Academy of Finland under CSN project with grant No. 311654. |
Academy of Finland Grant Number: |
318927 |
Detailed Information: |
318927 (Academy of Finland Funding decision) |
Copyright information: |
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