PERFORMANCE ANALYSIS OF GSM NETWORKS WITH DATA MINING METHOD


Savas S., TOPALOĞLU N.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, cilt.26, sa.4, ss.741-751, 2011 (SCI-Expanded) identifier identifier

Özet

In this study, a program, which creates a database by getting signal strength data of different GSM networks from mobile phones, is developed. The database is obtained by data which were collected by running program on a random route between center campus of Gazi University and Kizilcahamam County. These data are analyzed by using two step clustering method, which is a type of data mining method. The performance of A, B and C GSM networks is determined and network A has the highest signal strength, and the most stable signal level based on the signal strength classification, while network B has the highest signal ratio when the signal strength ranges is classified.