Energy-Efficient Distributed Spectrum Sensing for Wireless Cognitive Radio Networks Conference Paper

abstract

• We propose an energy-efficient Distributed Spectrum Sensing (DSS) scheme, called cluster-and-forward based DSS scheme, for our developed two-tier hierarchical cognitive radio network. At each time step, our proposed scheme dynamically clusters the secondary users into multiple groups and selects the Cluster Head (CH) from the secondary users in each group. The selected CHs collect the spectrum sensing results, process the information locally, and send the local fusion results to the fusion center. To reduce the secondary users' power consumption, the selected CHs take turns to be the fusion center, which processes the local spectrum-sensing decision results sent from the other CHs and makes the final spectrum sensing decision. Our scheme is able to achieve the high spectrum sensing accuracy even when the average channel Signal-to-Noise Ratio (SNR) is low. The performance evaluations validate and evaluate our proposed DSS scheme and the clustering method in terms of the spectrum-sensing reliability and the energy efficiency. 2010 IEEE.

name of conference

• 2010 INFOCOM IEEE Conference on Computer Communications Workshops

authors

• Zhang, Xi

published proceedings

• 2010 INFOCOM IEEE Conference on Computer Communications Workshops

author list (cited authors)

• Wei, J., & Zhang, X. i.

citation count

• 33

complete list of authors

• Wei, Jin||Zhang, Xi

publication date

• March 2010

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Infocom. Proceedings  Journal

keywords

• 7 Affordable And Clean Energy

Digital Object Identifier (DOI)

• 10.1109/infcomw.2010.5466680

International Standard Book Number (ISBN) 13

• 9781424467396

start page

• 1

end page

• 6

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Finfcomw.2010.5466680

user-defined tag

• 7 Affordable and Clean Energy