Özet:

The positioning of the open spaces can be accurately obtained through the GPS (Global Positioning System). However, GPS systems do not measure the location information in closed environments accurately. Specific network systems are designed for localization in the interior environments. In this article, with the help of localized sensors in a closed environment, the fingerprint of the environment was removed with the help of RSSI signals and the sensor nod positions were detected using YSA. Two scenarios have been used in the implementation. The first scenario is performed in an empty office environment, the second scenario is performed in an office environment with people and various objects. When measuring the real and predictive positions of the sensor nodes, the calculated error appears to be acceptable according to literature. Location detection for the first scenario was detected with an average of 18.2 cm error in the second scenario with an average of 24.2 cm error. The recommended algorithm and application generate results parallel to existing techniques in terms of accuracy and reliability.

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