Experimental performance comparison of indoor positioning algorithms based on r...

• Autor(es): Silva, Hélder D. ; Afonso, José A. ; Rocha, Luís A.
• Data: 2014
• Identificador Persistente: http://hdl.handle.net/1822/29590
• Origem: RepositóriUM - Universidade do Minho
• Assunto(s): Fingerprinting; Localization; Received signal strength; Wireless sensor networks; Weighted centroid
• Tipo de Documento: Documento de conferência
• Idioma: Inglês

Descrição

Publicado em "Proceedings of the World Congress on Engineering 2014, vol. 1. ISBN 978-988-19252-7-5" The work presented here compares the performance of indoor positioning systems suitable for low power wireless sensor networks. Map matching, approximate positioning (weighted centroid) and exact positioning algorithms (least squares) were tested and compared in a small predefined indoor environment. We found that, for our test scenario, weighted centroid algorithms provided the best results. Least squares proved to be completely unreliable when using distances obtained by a propagation model. Major improvements in the positioning error were found when body influence was removed from the test scenario.