http://www.cnr.it/ontology/cnr/individuo/prodotto/ID199460
Automatic virtual calibration of range-based indoor localization systems (Articolo in rivista)
- Type
- Label
- Automatic virtual calibration of range-based indoor localization systems (Articolo in rivista) (literal)
- Anno
- 2012-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1002/wcm.1085 (literal)
- Alternative label
Barsocchi, Paolo (1); Lenzi, Stefano (1); Chessa, Stefano (1); Furfari, Francesco (1) (2012)
Automatic virtual calibration of range-based indoor localization systems
in Wireless communications and mobile computing (Print)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Barsocchi, Paolo (1); Lenzi, Stefano (1); Chessa, Stefano (1); Furfari, Francesco (1) (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- [Online First 04/02/2011]
Grant agreement 247950
Tipo Progetto EU_FP7 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://onlinelibrary.wiley.com/doi/10.1002/wcm.1085/abstract (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- PuMa (literal)
- ISI Web of Science (WOS) (literal)
- Scopu (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- (1) CNR-ISTI, Pisa; (2) Department of Computer Science, University of Pisa (literal)
- Titolo
- Automatic virtual calibration of range-based indoor localization systems (literal)
- Abstract
- The localization methods based on Received Signal Strength Indicator (RSSI) link the RSSI values to the position of the mobile to be located. In the RSSI localization techniques based on propagation models, the accuracy depends on the tuning of the propagation models parameters. In indoor wireless networks, the propagation conditions are hardly predictable due to the dynamic nature of the RSSI, and consequently the parameters of the propagation model may change. In this paper, we present an automatic virtual calibration method of the propagation model that does not require human intervention; therefore, can be periodically performed, following the wireless channel conditions. We also propose a novel RSSI-based localization algorithm that selects the RSSI values according to their strength, and uses a calibrated propagation model to transform these values into distances, in order to estimate the position of the mobile. (literal)
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