Title of article :
Optimum Indoor Signal Coverage of Dense Distributed Receivers via Ray Tracing Coupled with Genetic Algorithm
Author/Authors :
Talepour, Zeinab university of sistan and baluchestan - Faculty of Electrical and Computer engineering, زاهدان, ايران , Ahmadi-Shokouh, Javad university of sistan and baluchestan - Faculty of Electrical and Computer engineering, زاهدان, ايران , Tavakoli, Saeed university of sistan and baluchestan - Faculty of Electrical and Computer engineering, زاهدان, ايران
From page :
27
To page :
33
Abstract :
In this paper, we propose an optimization method to suitable locating minimum number of transmitter antennas to provide adequately signal coverage in a given indoor environment. This method is based on an integrated realized Ray-Tracing (RT) technique, so-called Ray-Tracing Engine (RTE), and Genetic Algorithm (GA). This integration provides an intelligent system in optimization process. To provide freedom in furniture placement each corner of every room contains a receiver. Therefore, we have a dense map of RSS distribution in propagation environment. According to Simulation results a full coverage using integrated RTE and GA is achieved through suitably locating three transmitters. Furthermore, GA avoids the time consuming process of antenna location finding in an exhaustive search method.
Keywords :
ray tracing , genetic algorithm , received signal strenght , wireless communication network
Journal title :
International Journal of Information and Communication Technology Research
Journal title :
International Journal of Information and Communication Technology Research
Record number :
2705197
Link To Document :
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