Deep Transfer Learning-Enabled Energy Management Strategy for Smart Home Sensor Networks

The applications of wireless sensor networks are extensively used to detect and control home residents' activities in smart homes. However, the sensors are battery-powered, so keeping them in active mode consumes tremendous energy. In this regard, we propose a solution to activate the smart hom...

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Veröffentlicht in:	IEEE transactions on industry applications 2023-01, Vol.59 (1), p.81-92
Hauptverfasser:	Alibrahim, Omar, Padmanaban, Sanjeevikumar, Khan, Murad, Khattab, Omar, Alothman, Basil, Joumaa, Chibli
Format:	Artikel
Sprache:	eng
Schlagworte:	Activity recognition Energy consumption Energy management Hidden Markov models internet of things LSTM Machine learning Performance evaluation Predictive models Sensors Smart buildings Smart homes Smart sensors Transfer learning Wireless networks Wireless sensor networks
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