Performances prediction in Wireless Sensor Networks: A survey on Deep learning based-approaches

The dynamism and successive changes in the distribution of nodes are among the important characteristics of wireless sensor networks (WSNs). To adapt with those changes, network designers frequently have to configure multiple parameters for each layer on WSN architecture (i.e physical, medium access...

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Главные авторы:	Eljakani Yassin, Boulouz Abdellah, ben Salah Mohamed, El Hachemy Said
Формат:	Artigo
Язык:	Inglês
Опубликовано:	EDP Sciences 2022-01-01
Серии:	ITM Web of Conferences
Предметы:	wsn deep learning wsn configuration parameters wsn performances prediction
Online-ссылка:	https://www.itm-conferences.org/articles/itmconf/pdf/2022/03/itmconf_icaie2022_01010.pdf
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