Hardware-Based Model of Node Clustering Using Q-Learning for Wireless Sensor Networks

Recent researches on the development and deployment of large-scale wireless sensor networks focus on the reduction of power consumption to increase network lifetime. This entails the development of more efficient hardware and the integration of the multiple components into a single platform; possibl...

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Veröffentlicht in:	TENCON ... IEEE Region Ten Conference S. 1673 - 1678
Hauptverfasser:	Delos Santos Manarang, Gienel Francheska, Rodriguez Mina, Rusty John Lloyd, Reyes Salvador, Mikko Chino, Gusad De Leon, Maria Theresa, Jagunap Densing, Chris Vincent, Rosales, Marc Driz, Ballesil Alvarez, Anastacia
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2018
Schlagworte:	Clustering algorithms Data aggregation Hardware Measurement Power demand Semiconductor device modeling Wireless sensor networks
ISSN:	2159-3450
Online-Zugang:	Volltext
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