Title :
Optimization of radio base station placement for localization of moving terminals indoors
Author :
Rutecki, Maciej ; Kacprzak, Tomasz
Author_Institution :
Tech. Univ. of Lodz, Lodz
Abstract :
The aim of this paper is to present new method of placing radio stations used for solving geolocation problem in indoor applications. It takes advantages of use neural networks, winner takes most algorithm, resilience phenomenon, Brownian motion and Monte Carlo method. This allow to significantly reduce time needed to compute optimal position of radio stations, while keeping good precision of calculation.
Keywords :
Brownian motion; Monte Carlo methods; neural nets; radio networks; telecommunication computing; Brownian motion; Monte Carlo method; geolocation problem; indoor applications; moving terminals indoors localization; neural networks; radio base station placement; resilience phenomenon; winner takes most algorithm; wireless communication technologies; Bandwidth; Base stations; Electromagnetic scattering; Frequency diversity; Frequency modulation; Modulation coding; Neural networks; OFDM modulation; Optimization methods; Resilience;
Conference_Titel :
Microwaves, Radar and Wireless Communications, 2008. MIKON 2008. 17th International Conference on
Conference_Location :
Wroclaw
Print_ISBN :
978-83-906662-8-0
