DocumentCode
3217058
Title
Genetic algorithm based reduction of electromagnetic field pollution
Author
Rolich, T. ; Grundler, D.
Author_Institution
Dept. of Fundamental Natural & Eng. Sci., Univ. of Zagreb, Zagreb, Croatia
fYear
2009
fDate
9-11 Dec. 2009
Firstpage
1512
Lastpage
1515
Abstract
Paper describes a method for finding transmitter parameters (location, power and horizontal direction) for optimal electromagnetic radiation distribution in the observed area. Constraints are protected areas inside the observed area where strength of electric field is limited because of a permanent people presence. In the observed area one wishes to obtain the strength of electric field which is higher than the lower limit value to cover the area with enough reception signal power. On the other hand electric field inside protected areas has to be lower than the prescribed upper limit determined by a health hazard. These two conditions are contradictory. In this investigation a genetic algorithm is used to find transmitter parameters (location, power and horizontal direction) constrained by above mentioned conditions. Investigation is limited to a rectangular planar observing area with one transmitter and with different formation and size of protected areas. The procedure has been repeated for 15 times and the results are analyzed statistically. Based on these results it can be concluded that the procedure is applicable and it is justified to continue investigations for more complex and more realistic situations, e.g. more than one transmitter with directed radiations and for 3D spaces.
Keywords
electromagnetic interference; genetic algorithms; radio spectrum management; telecommunication network planning; 3D space; directed radiation; electromagnetic field pollution reduction; genetic algorithm; optimal electromagnetic radiation distribution; transmitter horizontal direction; transmitter location; transmitter power; Cities and towns; Electromagnetic fields; Electromagnetic radiation; GSM; Genetic algorithms; Genetic engineering; Hazards; Pollution; Protection; Transmitters; MATLAB; genetic algorithm; horizontal radiation; optimization; transmitter;
fLanguage
English
Publisher
ieee
Conference_Titel
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location
Coimbatore
Print_ISBN
978-1-4244-5053-4
Type
conf
DOI
10.1109/NABIC.2009.5393683
Filename
5393683
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