PSO and APSO Evolutionary Computing in Indoor Wireless Communication

Author

Chien-Hung Chen ; Min-Hui Ho ; Chien-Ching Chiu ; Shu-Han Liao

Author_Institution

Dept. of Comput. & Eng., Taipei Coll. of Maritime Technol., Taipei, Taiwan

fYear

2012

fDate

25-28 Aug. 2012

Firstpage

204

Lastpage

206

Abstract

This paper presents a method for determining the locations of transmitting antennas to optimize wireless propagation coverage in an indoor ultra wideband (UWB) communication system. in the coverage prediction model, we use the three-dimensional ray-tracing technique associated with a particle swarm optimization (PSO), and asynchronous particle swarm optimization (APSO) for optimizing the transmitting antennas location in an indoor environment. Simulation results illustrate the feasibility of using the integrated ray-tracing, and optimization methods to find the optimal transmitter locations in determining the optimized coverage of a wireless network. the APSO has better optimization results compared to the PSO.

Keywords

evolutionary computation; indoor radio; particle swarm optimisation; radio networks; radiowave propagation; ray tracing; transmitting antennas; ultra wideband technology; APSO evolutionary computing; PSO; UWB communication system; asynchronous particle swarm optimization; coverage prediction model; indoor ultrawideband communication system; indoor wireless communication; optimal transmitter locations; particle swarm optimization; three-dimensional ray-tracing technique; transmitting antenna location; wireless network; wireless propagation coverage optimization; Cost function; Genetic algorithms; Particle swarm optimization; Ray tracing; Transmitting antennas; Wireless communication; APSO; PSO; Ray-Tracing;

fLanguage

English

Publisher

ieee

Conference_Titel

Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on

Conference_Location

Kitakushu

Print_ISBN

978-1-4673-2138-9

Type

conf

DOI

10.1109/ICGEC.2012.122

Filename

6457053