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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |