Application of reinforcement learning to wireless sensor
networks: models and algorithms

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Application of reinforcement learning to wireless sensor networks: models and algorithms

Wireless sensor network (WSN) consists of a large number of sensors and sink nodes which are used to monitor events or environmental parameters, such as movement, temperature, humidity, etc. Reinforcement learning (RL) has been applied in a wide range of schemes in WSNs, such as cooperative communic...

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Bibliographic Details
Main Authors:	Yau, Alvin Kok-Lim , Goh, Hock Guan , Chieng, David, Kwong, Kae Hsiang
Format:	Article
Published:	Springer 2015
Subjects:	QA Mathematics QA75 Electronic computers. Computer science
Online Access:	http://eprints.sunway.edu.my/302/

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