Communication-Efficient Tracking of Unknown, Spatially Correlated Signals in Ad-Hoc Wireless Sensor Networks: Two Machine Learning Approaches

A low-cost machine learning (ML) algorithm is proposed and discussed for spatial tracking of unknown, correlated signals in localized, ad-hoc wireless sensor networks. Each sensor is modeled as one neuron and a selected subset of these neurons are called to identify the spatial signal. The algorithm...

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Detalles Bibliográficos
Autor principal: Alasti, Hadi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347045/
https://www.ncbi.nlm.nih.gov/pubmed/34372411
http://dx.doi.org/10.3390/s21155175

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347045/
https://www.ncbi.nlm.nih.gov/pubmed/34372411
http://dx.doi.org/10.3390/s21155175

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