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Towards a cognitive MAC layer: Predicting the MAC-level performance in dynamic WSN using machine learning

Merima Kulin (UGent) , Eli De Poorter (UGent) , Tarik Kazaz (UGent) and Ingrid Moerman (UGent)
(2017) p.1-2
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Citation

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

Chicago
Kulin, Merima, Eli De Poorter, Tarik Kazaz, and Ingrid Moerman. 2017. “Towards a Cognitive MAC Layer: Predicting the MAC-level Performance in Dynamic WSN Using Machine Learning.” In , 1–2.
APA
Kulin, M., De Poorter, E., Kazaz, T., & Moerman, I. (2017). Towards a cognitive MAC layer: Predicting the MAC-level performance in dynamic WSN using machine learning (pp. 1–2). Presented at the EWSN2017, the International Conference on Embedded Wireless Systems and Networks.
Vancouver
1.
Kulin M, De Poorter E, Kazaz T, Moerman I. Towards a cognitive MAC layer: Predicting the MAC-level performance in dynamic WSN using machine learning. 2017. p. 1–2.
MLA
Kulin, Merima, Eli De Poorter, Tarik Kazaz, et al. “Towards a Cognitive MAC Layer: Predicting the MAC-level Performance in Dynamic WSN Using Machine Learning.” 2017. 1–2. Print.
@inproceedings{8508247,
  author       = {Kulin, Merima and De Poorter, Eli and Kazaz, Tarik and Moerman, Ingrid},
  keyword      = {IBCN},
  location     = {Uppsala, Sweden},
  pages        = {1--2},
  title        = {Towards a cognitive MAC layer: Predicting the MAC-level performance in dynamic WSN using machine learning},
  year         = {2017},
}