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It is very common that during the localization process redundant reference data can be collected. This reference data is called "anchors". For some position estimation algorithms, like trilateration or Min-Max, only three or four anchors for 2-d or 3-d localization respectively are required. The selection of certain anchors from collected amount can affect the localization accuracy significantly [1]. The main purpose of this paper is to propose and analyze several most promising Optimum Anchor Selection algorIthmS (OASIS) that can contribute to the improvement of the localization precision.

This paper deals with the position estimation of the "survived" Wi-Fi access points in the scope of the disaster scenario. All analyzed algorithms use trilateration for position calculation and run on the real data that was obtained during the measurement campaign in the university campus in Ilmenau (Germany) using flying multicopters. Additionally, the proposed algorithms will be compared with the results calculated with the multilateration method.

Therefore, the main purpose of this paper is to find the most efficient OASIS method in scope of localization accuracy and speed.