[ANZ17] Error Density for indoor localization based on RSSI fingerprint

Conférence Internationale avec comité de lecture : ISWCS 2017, August 2017, pp.1-5, Bologne, Italy,

Mots clés: RSSI fingerprinting

Résumé: Abstract—This paper introduces a new localization performance evaluation parameter named ’Error Density’. It is given by the ratio between the mean error and the indoor environment area. We believe that such parameter is relevant in order to compare different localization methods proposed by different research teams in their own indoor areas. We propose to compare existing localization algorithms with the kernel method based localization using RSSI fingerprints applied to the public indoor localization database


@inproceedings {
title="{Error Density for indoor localization based on RSSI fingerprint}",
author=" I. Ahriz and W. Njima and R. Zayani and M. Terre and R. Bouallegue ",
booktitle="{ISWCS 2017}",
address="Bologne, Italy",