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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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Springer
2015
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| Subjects: | |
| Online Access: | http://eprints.sunway.edu.my/302/ http://link.springer.com/article/10.1007/s00607-014-0438-1 |
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