http://www.cnr.it/ontology/cnr/individuo/prodotto/ID207220

Context driven enhancement of RSS-based localization systems (Rapporti tecnici/preprint/working paper)

Type

Label

Context driven enhancement of RSS-based localization systems (Rapporti tecnici/preprint/working paper) (literal)

Anno

Alternative label

Barsocchi, Paolo [1]; Chessa, Stefano [2]; Ferro, Erina [1]; Furfari, Francesco [1]; Potortì, Francesco [1] (2011)
Context driven enhancement of RSS-based localization systems
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

Barsocchi, Paolo [1]; Chessa, Stefano [2]; Ferro, Erina [1]; Furfari, Francesco [1]; Potortì, Francesco [1] (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni

Note

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

[1] CNR-ISTI, Pisa; [2] Dipartimento di Informatica, Università di Pisa (literal)

Titolo

Abstract

RSS-based indoor localization systems are widely accepted in the literature as one of the less invasive localization technique. In fact, this range-based approach does not require any special hardware and is available in most standard wireless devices. Furthermore, judicious use of RSS has not a significant impact on local power consumption, sensor size, and cost. In front of these interesting characteristics, the performance of the RSS approach is worst with respect to some more invasive ad hoc hardware range-based solutions (such as Angle of Arrival, Time of Arrival etc...). In this paper we propose a localization method that leveraging the context information, such as the knowledge of being in a given room, increases the localization accuracy of RSS-based methods. Performance evaluation is done via real measurements in an office environment composed of three adjacent rooms. (literal)

Prodotto di

Autore CNR

Insieme di parole chiave

Autore CNR di

Prodotto

Insieme di parole chiave di

data.CNR.it