An On-Demand Charging for Connected Target Coverage in WRSNs Using Fuzzy Logic and Q-Learning †

In wireless rechargeable sensor networks (WRSNs), a mobile charger (MC) moves around to compensate for sensor nodes’ energy via a wireless medium. In such a context, designing a charging strategy that optimally prolongs the network lifetime is challenging. This work aims to solve the challenges by i...

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Detalles Bibliográficos
Autores principales: Nguyen, Phi Le, La, Van Quan, Nguyen, Anh Duy, Nguyen, Thanh Hung, Nguyen, Kien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401319/
https://www.ncbi.nlm.nih.gov/pubmed/34450962
http://dx.doi.org/10.3390/s21165520

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401319/
https://www.ncbi.nlm.nih.gov/pubmed/34450962
http://dx.doi.org/10.3390/s21165520

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