Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/4072
Título: A lightweight indoor localization model based on motley-keenan and COST
Autor: Serôdio, Carlos
Coutinho, Luis
Reigoto, Luis
Matias, João
Correia, Aldina
Mestre, Pedro
Palavras-chave: LBS
Location estimation algorithms
Motley keenan
Data: 2012
Editora: International Association of Engineers
Relatório da Série N.º: World Congress on Engineering; Vol. 2
Resumo: This paper presents a novel approach to WLAN propagation models for use in indoor localization. The major goal of this work is to eliminate the need for in situ data collection to generate the Fingerprinting map, instead, it is generated by using analytical propagation models such as: COST Multi-Wall, COST 231 average wall and Motley- Keenan. As Location Estimation Algorithms kNN (K-Nearest Neighbour) and WkNN (Weighted K-Nearest Neighbour) were used to determine the accuracy of the proposed technique. This work is based on analytical and measurement tools to determine which path loss propagation models are better for location estimation applications, based on Receive Signal Strength Indicator (RSSI).This study presents different proposals for choosing the most appropriate values for the models parameters, like obstacles attenuation and coefficients. Some adjustments to these models, particularly to Motley-Keenan, considering the thickness of walls, are proposed. The best found solution is based on the adjusted Motley-Keenan and COST models that allows to obtain the propagation loss estimation for several environments.Results obtained from two testing scenarios showed the reliability of the adjustments, providing smaller errors in the measured values values in comparison with the predicted values.
Peer review: yes
URI: http://hdl.handle.net/10400.22/4072
ISBN: 978-988-19252-1-3
ISSN: 2078-0958
Versão do Editor: http://www.iaeng.org/publication/WCE2012/
Aparece nas colecções:ESTGF - CNE - Comunicações em Eventos Científicos
ESTGF - CIICESI - Comunicações em eventos científicos

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
COM_CarlosSerodio_2012.pdf789,59 kBAdobe PDFVer/Abrir    Acesso Restrito. Solicitar cópia ao autor!

FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.