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Erschienen in: Complex Adaptive Systems Modeling 1/2016

Open Access 01.12.2016 | Erratum

Erratum to: A survey on MAC protocols for complex self-organizing cognitive radio networks

verfasst von: Munam Ali Shah, Sijing Zhang, Muhammad Kamran, Qaisar Javaid, Bahjat Fatima

Erschienen in: Complex Adaptive Systems Modeling | Ausgabe 1/2016

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The online version of the original article can be found under doi:10.​1186/​s40294-016-0030-y.

Erratum to: Complex Adapt Syst Model (2016) 4:18 DOI 10.1186/s40294-016-0030-y

In published version of the article (Shah et al. 2016), Figure 9 caption shows a wrong citation such as “Figure 9. Classification of CR MAC protocols (Shah, M.A. Sijing Zhang 2013).” The figure is adopted from Joshi et al. (2009). Hence, the corrected caption of Fig. 9 is given in this erratum.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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Literatur
Zurück zum Zitat Joshi GP, Kim SW, Kim BS (2009) An efficient MAC protocol for improving the network throughput for cognitive radio networks. In: 2009 third international conference on next generation mobile applications, services and technologies. IEEE, New York, pp 271–275 Joshi GP, Kim SW, Kim BS (2009) An efficient MAC protocol for improving the network throughput for cognitive radio networks. In: 2009 third international conference on next generation mobile applications, services and technologies. IEEE, New York, pp 271–275
Metadaten
Titel
Erratum to: A survey on MAC protocols for complex self-organizing cognitive radio networks
verfasst von
Munam Ali Shah
Sijing Zhang
Muhammad Kamran
Qaisar Javaid
Bahjat Fatima
Publikationsdatum
01.12.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Complex Adaptive Systems Modeling / Ausgabe 1/2016
Elektronische ISSN: 2194-3206
DOI
https://doi.org/10.1186/s40294-016-0039-2

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