Clustering in Multi-Channel Cognitive Radio Ad Hoc and Sensor Networks
View / Open Files
Authors
Ozger, M
Alagoz, F
Akan, OB
Publication Date
2018Journal Title
IEEE Communications Magazine
ISSN
0163-6804
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
56
Issue
4
Pages
156-162
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Ozger, M., Alagoz, F., & Akan, O. (2018). Clustering in Multi-Channel Cognitive Radio Ad Hoc and Sensor Networks. IEEE Communications Magazine, 56 (4), 156-162. https://doi.org/10.1109/MCOM.2018.1700767
Abstract
© 1979-2012 IEEE. CR enables dynamic spectrum access to utilize licensed spectrum when it is idle. CR technology is applied to wireless ad hoc and sensor networks to form CRAHNs and CRSNs, respectively. Clustering is an efficient topology management technique to regulate communication and allocate spectrum resources by CR capabilities of nodes in CRAHNs and CRSNs. In this article, we thoroughly investigate the benefits and functionalities of clustering such as topology, spectrum, and energy management in these networks. We also overview motivations for and challenges of clustering in CRAHNs and CRSNs. Existing clustering schemes are reviewed and compared. We conclude by revealing key considerations and possible solutions for spectrum-aware clustering in multi-channel CRAHNs and CRSNs.
Keywords
Neurosciences
Identifiers
External DOI: https://doi.org/10.1109/MCOM.2018.1700767
This record's URL: https://www.repository.cam.ac.uk/handle/1810/287036
Rights
Licence:
http://www.rioxx.net/licenses/all-rights-reserved
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk