UAV Placement with Animal Migration Optimization Algorithm

Duraki S., Demirci S., Aslan S.

28th Telecommunications Forum (TELFOR), Belgrade, Sırbistan, 24 - 25 Kasım 2020, ss.53-56 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/telfor51502.2020.9306631
  • Basıldığı Şehir: Belgrade
  • Basıldığı Ülke: Sırbistan
  • Sayfa Sayıları: ss.53-56
  • Anahtar Kelimeler: unmanned aerial vehicle, 3D placement, animal migration optimization
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

In situations when cellular networks go down, unmanned aerial vehicles (UAVs) can be utilized as wireless base stations. In this study, a single UAV has the role of a wireless base station and provides coverage for uniformly distributed users inside the building. We consider scenarios with different building sizes and we provide the solution to the problem of the efficient UAV placement and minimization of transmit power required to cover the entire building using the Animal Migration Optimization (AMO) algorithm. Experimental studies show that the AMO algorithm is able to obtain better results in finding efficient UAV placement than Particle Swarm Optimization (PSO) algorithm and Artificial Bee Colony (ABC) algorithm.