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A reinforcement learning based solution for cognitive network cooperation between co-located, heterogeneous wireless sensor networks

Milos Rovcanin (UGent) , Eli De Poorter (UGent) , Ingrid Moerman (UGent) and Piet Demeester (UGent)
(2014) AD HOC NETWORKS. 17. p.98-113
Author
Organization
Keywords
RADIO, IBCN, Machine learning, Network cooperation, Reinforcement learning, Least Squares Policy Iteration

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Citation

Please use this url to cite or link to this publication:

MLA
Rovcanin, Milos et al. “A Reinforcement Learning Based Solution for Cognitive Network Cooperation Between Co-located, Heterogeneous Wireless Sensor Networks.” AD HOC NETWORKS 17 (2014): 98–113. Print.
APA
Rovcanin, M., De Poorter, E., Moerman, I., & Demeester, P. (2014). A reinforcement learning based solution for cognitive network cooperation between co-located, heterogeneous wireless sensor networks. AD HOC NETWORKS, 17, 98–113.
Chicago author-date
Rovcanin, Milos, Eli De Poorter, Ingrid Moerman, and Piet Demeester. 2014. “A Reinforcement Learning Based Solution for Cognitive Network Cooperation Between Co-located, Heterogeneous Wireless Sensor Networks.” Ad Hoc Networks 17: 98–113.
Chicago author-date (all authors)
Rovcanin, Milos, Eli De Poorter, Ingrid Moerman, and Piet Demeester. 2014. “A Reinforcement Learning Based Solution for Cognitive Network Cooperation Between Co-located, Heterogeneous Wireless Sensor Networks.” Ad Hoc Networks 17: 98–113.
Vancouver
1.
Rovcanin M, De Poorter E, Moerman I, Demeester P. A reinforcement learning based solution for cognitive network cooperation between co-located, heterogeneous wireless sensor networks. AD HOC NETWORKS. 2014;17:98–113.
IEEE
[1]
M. Rovcanin, E. De Poorter, I. Moerman, and P. Demeester, “A reinforcement learning based solution for cognitive network cooperation between co-located, heterogeneous wireless sensor networks,” AD HOC NETWORKS, vol. 17, pp. 98–113, 2014.
@article{4661610,
  author       = {Rovcanin, Milos and De Poorter, Eli and Moerman, Ingrid and Demeester, Piet},
  issn         = {1570-8705},
  journal      = {AD HOC NETWORKS},
  keywords     = {RADIO,IBCN,Machine learning,Network cooperation,Reinforcement learning,Least Squares Policy Iteration},
  language     = {eng},
  pages        = {98--113},
  title        = {A reinforcement learning based solution for cognitive network cooperation between co-located, heterogeneous wireless sensor networks},
  url          = {http://dx.doi.org/10.1016/j.adhoc.2014.01.009},
  volume       = {17},
  year         = {2014},
}

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