UAV Placement with Animal Migration Optimization Algorithm


Duraki S., Demirci S., Aslan S.

28th Telecommunications Forum (TELFOR), Belgrade, Serbia, 24 - 25 November 2020, pp.53-56 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/telfor51502.2020.9306631
  • City: Belgrade
  • Country: Serbia
  • Page Numbers: pp.53-56
  • Keywords: unmanned aerial vehicle, 3D placement, animal migration optimization
  • Ondokuz Mayıs University Affiliated: Yes

Abstract

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.