Pregled bibliografske jedinice broj: 308290
PSO and ACO Algorithms Applied to Location Optimization of the WLAN Base Station
PSO and ACO Algorithms Applied to Location Optimization of the WLAN Base Station // ICECom 2007 : conference proceedings of the 19th International Conference on Applied Electromagnetics and Communications / Bonefačić, Davor (ur.).
Zagreb: Hrvatsko društvo za komunikacije, računarstvo, elektroniku, mjerenja I automatiku (KoREMA), 2007. str. 361-364 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 308290 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
PSO and ACO Algorithms Applied to Location Optimization of the WLAN Base Station
Autori
Vilović, Ivan ; Burum, Nikša ; Šipuš, Zvonimir ; Nađ, Robert
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
ICECom 2007 : conference proceedings of the 19th International Conference on Applied Electromagnetics and Communications
/ Bonefačić, Davor - Zagreb : Hrvatsko društvo za komunikacije, računarstvo, elektroniku, mjerenja I automatiku (KoREMA), 2007, 361-364
ISBN
978-953-6037-50-6
Skup
19th International Conference on Applied Electromagnetics and Communications
Mjesto i datum
Dubrovnik, Hrvatska, 24.09.2007. - 26.09.2007
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
particle swarm optimization; ant colony optimization; genetic algorithms; antenna location optimization
Sažetak
The main goal of this work is to show the use of evolutionary computation techniques The Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) in indoor propagation problem. These algorithms employ different strategies and computational efforts, but also they have something in common. Therefore, it is appropriate to compare their performance with the Genetic algorithm (GA). We have demonstrated their ability to optimize base station location using data from neural network model of Wireless Local Area Network (WLAN). The results show that PSO has better properties compared to ACO algorithm. The ACO algorithm needs further work to optimize the algorithm parameters, improve analysis of pheromone data and reduce computation time. However, the ant colony based approach is utilizable for solving such problems.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
036-0361566-1570 - Elektromagnetski učinci i strukture u komunikacijskim sustavima (Šipuš, Zvonimir, MZO ) ( CroRIS)
275-0361566-3136
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Sveučilište u Dubrovniku
