A Wireless Sensor Network with Soft Computing Localization Techniques for Track Cycling Applications

In this paper, we propose two soft computing localization techniques for wireless sensor networks (WSNs). The two techniques, Neural Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN), focus on a range-based localization method which relies on the measurement of the received signal s...

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Detalles Bibliográficos
Autores principales: Gharghan, Sadik Kamel, Nordin, Rosdiadee, Ismail, Mahamod
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017318/
https://www.ncbi.nlm.nih.gov/pubmed/27509495
http://dx.doi.org/10.3390/s16081043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017318/
https://www.ncbi.nlm.nih.gov/pubmed/27509495
http://dx.doi.org/10.3390/s16081043

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