Abstract:
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Cognitive radio is a wireless technology aimed at improving
the efficiency use of the radio-electric spectrum, thus facilitating a reduction
in the load on the free frequency bands. Cognitive radio networks
can scan the spectrum and adapt their parameters to operate in the unoccupied
bands. To avoid interfering with licensed users operating on a given
channel, the networks need to be highly sensitive, which is achieved by
using cooperative sensing methods. Current cooperative sensing methods
are not robust enough against occasional or continuous attacks. This article
outlines a Group Fusion method that takes into account the behavior of
users over the short and long term. On fusing the data, the method is based
on giving more weight to user groups that are more unanimous in their decisions.
Simulations have been performed in a dynamic environment with
interferences. Results prove that when attackers are present (both reiterative
or sporadic), the proposed Group Fusion method has superior sensing
capability than other methods. |