Edge Cloud Resource-aware Flight Planning for Unmanned Aerial Vehicles

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

Organisaatiot

  • University of Oulu
  • Lucent

Kuvaus

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.

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
TilaJulkaistu - 1 huhtikuuta 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaIEEE Wireless Communications and Networking Conference - Marrakech, Marokko
Kesto: 15 huhtikuuta 201919 huhtikuuta 2019

Julkaisusarja

NimiIEEE Wireless Communications and Networking Conference
ISSN (painettu)1525-3511
ISSN (elektroninen)1558-2612

Conference

ConferenceIEEE Wireless Communications and Networking Conference
LyhennettäWCNC
MaaMarokko
KaupunkiMarrakech
Ajanjakso15/04/201919/04/2019

Lataa tilasto

Ei tietoja saatavilla

ID: 38784379