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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Bibliographic Details

Published in:	TENCON ... IEEE Region Ten Conference pp. 1673 - 1678
Main Authors:	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:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2018
Subjects:	Clustering algorithms Data aggregation Hardware Measurement Power demand Semiconductor device modeling Wireless sensor networks
ISSN:	2159-3450
Online Access:	Get full text
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