Analysis of the Behavior of an Indoor Position System Based on Fingerprints and IEEE 802.15.4
This paper presents an analysis of the behaviour of an indoor position system based on fingerprints and IEEE 802.15.4 that has been adapted to be tested in a competition, called EvAAL (Evaluating AAL Systems through Competitive Benchmarking), hold both in Madrid (tests) and Eindhoven (results). The...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2013 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/54045 |
| Acceso en línea: | http://hdl.handle.net/11441/54045 |
| Access Level: | acceso abierto |
| Palabra clave: | IEEE 802.15.4 RSSI Centroid Indoor position ZigBee WSN BitCloud OpenMAC |
| Sumario: | This paper presents an analysis of the behaviour of an indoor position system based on fingerprints and IEEE 802.15.4 that has been adapted to be tested in a competition, called EvAAL (Evaluating AAL Systems through Competitive Benchmarking), hold both in Madrid (tests) and Eindhoven (results). The objectives of this analysis are to determine the best algorithm that should have been applied in order to obtain the best results in the competition to use them in other environments. Among the different combinations that can be applied, i.e., the way the signature database is filled in and the algorithm uses to determine the closest location point, the best results are obtained using a global signature database where each signature entry is calculated by the medium of samples signatures database and the closest location is determined by a centroid algorithm with the parameter c set to 1.3. In this way, the error made improves the one obtained in the EvAAL, which is reduced by 100 centimetres. |
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