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:
Online Access:http://eprints.sunway.edu.my/302/
http://link.springer.com/article/10.1007/s00607-014-0438-1
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Institution: Sunway University
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