Pregled bibliografske jedinice broj: 472258
Determining optimal power, location and direction of transmitters using a genetic algorithm
Determining optimal power, location and direction of transmitters using a genetic algorithm // Computer in Technical Systems & Intelligent Systems / Nikola, Bogunović ; Ribarić, Slobodan (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2010. str. 161-166 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 472258 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Determining optimal power, location and direction of transmitters using a genetic algorithm
Autori
Rolich, Tomislav ; Grundler, Darko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Computer in Technical Systems & Intelligent Systems
/ Nikola, Bogunović ; Ribarić, Slobodan - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2010, 161-166
ISBN
978-953-233-053-3
Skup
MIPRO 2010 33rd International Convention
Mjesto i datum
Opatija, Hrvatska, 24.05.2010. - 28.05.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
electromagnetic radiation; transmitter; optimization; MATLAB
Sažetak
Electromagnetic field pollution caused by various human-made sources can pose a health hazard, especially in urban and dense populated areas. Many independent service providers install new electromagnetic sources (transmitters) usually without mutual coordination. In this paper an investigation is presented for adjustment of transmitters’ parameters (e.g. location, direction, power) to minimize a health hazard caused by the electromagnetic radiation while in the same time satisfy service availability (minimal reception of electromagnetic field strength for each provider). In this research two transmitters with a different nonuniform radiation diagrams were positioned within the observed area and their parameters were adjusted (power, direction, position) taking into account electromagnetic field constraints in areas where people reside. Using here proposed GA aided method for transmitters’ parameter adjustment promising results were achieved.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
117-0000000-3254 - Evolucijski algoritmi za optimiranje elektromagnetskog opterećenja okoliša (Grundler, Darko, MZOS ) ( CroRIS)
Ustanove:
Tekstilno-tehnološki fakultet, Zagreb