Comparison of Anchor Selection algorithms for improvement of position estimation during the Wi-Fi localization process in disaster scenario

Abstract

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.