Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/4069
Título: RSS and LEA adaptation for indoor location using fingerprinting
Autor: Mestre, Pedro
Reigoto, Luis
Coutinho, Luis
Correia, Aldina
Matias, João
Serôdio, Carlos
Palavras-chave: Fingerprinting location
IEEE 802.11
Direct search optimization methods
LEA calibration
RSS adaptation
Data: 2012
Editora: International Association of Engineers
Relatório da Série N.º: World Congress on Engineering; Vol. 2
Resumo: Fingerprinting is an indoor location technique, based on wireless networks, where data stored during the offline phase is compared with data collected by the mobile device during the online phase. In most of the real-life scenarios, the mobile node used throughout the offline phase is different from the mobile nodes that will be used during the online phase. This means that there might be very significant differences between the Received Signal Strength values acquired by the mobile node and the ones stored in the Fingerprinting Map. As a consequence, this difference between RSS values might contribute to increase the location estimation error. One possible solution to minimize these differences is to adapt the RSS values, acquired during the online phase, before sending them to the Location Estimation Algorithm. Also the internal parameters of the Location Estimation Algorithms, for example the weights of the Weighted k-Nearest Neighbour, might need to be tuned for every type of terminal. This paper focuses both approaches, using Direct Search optimization methods to adapt the Received Signal Strength and to tune the Location Estimation Algorithm parameters. As a result it was possible to decrease the location estimation error originally obtained without any calibration procedure.
Peer review: yes
URI: http://hdl.handle.net/10400.22/4069
ISBN: 978-988-19252-1-3
ISSN: 2078-0958
2078-0966
Versão do Editor: http://www.iaeng.org/publication/WCE2012/
Aparece nas colecções:ESTGF - CNE - Comunicações em Eventos Científicos
ESTGF - CIICESI - Comunicações em eventos científicos

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