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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Vydané v:	TENCON ... IEEE Region Ten Conference s. 1673 - 1678
Hlavní autori:	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
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2018
Predmet:	Clustering algorithms Data aggregation Hardware Measurement Power demand Semiconductor device modeling Wireless sensor networks
ISSN:	2159-3450
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