Edge Cloud Resource-aware Flight Planning for Unmanned Aerial Vehicles

Oussama Bekkouche, Tarik Taleb, Miloud Bagaa, Konstantinos Samdanis

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

4 Citations (Scopus)
86 Downloads (Pure)

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.

Original languageEnglish
Title of host publication2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
PublisherIEEE
ISBN (Electronic)9781538676462
DOIs
Publication statusPublished - 1 Apr 2019
MoE publication typeA4 Article in a conference publication
EventIEEE Wireless Communications and Networking Conference - Marrakech, Morocco
Duration: 15 Apr 201919 Apr 2019

Publication series

NameIEEE Wireless Communications and Networking Conference
ISSN (Print)1525-3511
ISSN (Electronic)1558-2612

Conference

ConferenceIEEE Wireless Communications and Networking Conference
Abbreviated titleWCNC
CountryMorocco
CityMarrakech
Period15/04/201919/04/2019

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