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.