Drone Placement for Optimal Coverage by Brain Storm Optimization Algorithm (CROSBI ID 61256)
Prilog u knjizi | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Tuba, Eva ; Capor-Hrosik, Romana ; Alihodzic, Adis ; Tuba, Milan
engleski
Drone Placement for Optimal Coverage by Brain Storm Optimization Algorithm
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.
Drone Placement ; Optimization ; Brain Storm Optimization Algorithm
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Podaci o prilogu
167-176.
objavljeno
10.1007/978-3-319-76351-4_17
Podaci o knjizi
Abraham, A. ; Muhuri, P. ; Muda, A. ; Gandhi, N
Cham: Springer
2018.
978-3-319-76350-7
2194-5357
2194-5365