Abstract
The article deals with an optimization issue of radio station deployment. This deployment is very important in order to gain the accuracy of the multilateration positioning system. However, deployment of stations is in many cases empirically addressed, which results in different quality of obtained results/data. This process still works with help of selecting multiple locations and following testing how the deployment works. The aim of this research is to design an algorithm, which is necessary for the optimization process of radio station deployment. In order to achieve this goal, the information and support of computing systems from company ERA a.s., was used as well. Czech company ERA a.s. is dealing with this issue for many years.
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Acknowledgements
This paper and research were also supported by a project of Students Grant Agency – FIM, University of Hradec Kralove, Czech Republic (under ID: UHK-FIM-SP-2017). Authors especially wish to thank Jaromir Homolka for his helpful support during the research as well as the entire company ERA, a.s., Czech Republic.
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Tesarova, B., Vokalova, A. (2017). Using a Genetic Algorithm in a Process of Optimizing the Deployment of Radio Stations. In: Dang, T., Wagner, R., Küng, J., Thoai, N., Takizawa, M., Neuhold, E. (eds) Future Data and Security Engineering. FDSE 2017. Lecture Notes in Computer Science(), vol 10646. Springer, Cham. https://doi.org/10.1007/978-3-319-70004-5_8
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