University of Oulu

O. Bekkouche, T. Taleb, M. Bagaa and K. Samdanis, "Edge Cloud Resource-aware Flight Planning for Unmanned Aerial Vehicles," 2019 IEEE Wireless Communications and Networking Conference (WCNC), Marrakesh, Morocco, 2019, pp. 1-7. doi: 10.1109/WCNC.2019.8886000

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
Publish Date: 2020-03-11
Description:

Abstract

Unmanned 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.

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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)
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