Pregled bibliografske jedinice broj: 940126
Drone Placement for Optimal Coverage by Brain Storm Optimization Algorithm
Drone Placement for Optimal Coverage by Brain Storm Optimization Algorithm // Advances in Intelligent Systems and Computing / Abraham, A. ; Muhuri, P. ; Muda, A. ; Gandhi, N (ur.).
Cham: Springer, 2018. str. 167-176 doi:10.1007/978-3-319-76351-4_17
CROSBI ID: 940126 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Drone Placement for Optimal Coverage by Brain
Storm Optimization Algorithm
Autori
Tuba, Eva ; Capor-Hrosik, Romana ; Alihodzic, Adis ; Tuba, Milan
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Advances in Intelligent Systems and Computing
Urednik/ci
Abraham, A. ; Muhuri, P. ; Muda, A. ; Gandhi, N
Izdavač
Springer
Grad
Cham
Godina
2018
Raspon stranica
167-176
ISBN
978-3-319-76350-7
ISSN
2194-5357
Ključne riječi
Drone Placement ; Optimization ; Brain Storm Optimization Algorithm
Sažetak
Unmanned aerial vehicles or drones are used in wide range of applications and one of them is area monitoring. Finding the optimal positions for drones so that the coverage is maximized, while reducing the fuel consumption represents computationally hard problem. For these kinds of problems, swarm intelligence algorithms have been successfully used. In this paper we propose recent brain storm optimization algorithm for finding the locations for static drones. Optimal drone placement maximizes the number of covered targets while minimizing drones altitude. The proposed method was tested in two different environments, with uniformly and clustered deployed targets. Based on the obtained results it can be concluded that brain storm optimization is appropriate for solving drone placement problem in both considered environments.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Računarstvo
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus
