Cargando…
An NB-IoT-Based Edge-of-Things Framework for Energy-Efficient Image Transfer
Machine Learning (ML) techniques can play a pivotal role in energy efficient IoT networks by reducing the unnecessary data from transmission. With such an aim, this work combines a low-power, yet computationally capable processing unit, with an NB-IoT radio into a smart gateway that can run ML algor...
Autores principales: | Khan, Sikandar Zulqarnain, Le Moullec, Yannick, Alam, Muhammad Mahtab |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434658/ https://www.ncbi.nlm.nih.gov/pubmed/34502818 http://dx.doi.org/10.3390/s21175929 |
Ejemplares similares
-
Narrowband Internet of Things (NB-IoT): From Physical (PHY) and Media Access Control (MAC) Layers Perspectives
por: Mwakwata, Collins Burton, et al.
Publicado: (2019) -
An Energy-Efficient and Adaptive Channel Coding Approach for Narrowband Internet of Things (NB-IoT) Systems
por: Migabo, Emmanuel, et al.
Publicado: (2020) -
Energy Efficient SWIPT Based Mobile Edge Computing Framework for WSN-Assisted IoT
por: Chen, Fangni, et al.
Publicado: (2021) -
Internet-of-Things (IoT) Platform for Road Energy Efficiency Monitoring
por: Skar, Asmus, et al.
Publicado: (2023) -
Sustainable energy management using the Internet of Things (IoT)
por: Shah, Mian Hazrat, et al.
Publicado: (2023)