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Cognitive networks assure to tackle spectrum deficiency problems by accommodating secondary (unlicensed) users, in the spectrum region which is under-utilized. Cooperative Spectrum Sensing methodologies are still an open window of research. This work is related to cope up the problem of spectrum deficiency and associated problems, by developing an approach for establishment of grouping/clustering among secondary users in a cooperative spectral environment. This approach ensures that members within a group are highly correlated. As a result, the workload on each sensing node within a group is reduced. The effectiveness of this approach depends upon the accuracy of fused decision related to the presence or absence of primary (licensed) user at a particular band (50MHZ to 100MHZ). This approach also depends on the factor that time taken in sensing the primary (licensed) users should be less enough so that decision in vacating the band by the Cognitive Radio secondary users could be taken in fewer time frames. This latter metric is known as 'agility', which eventually comes with the outcome of minimum interference to primary users via their early recognition.

Cooperative Spectrum Sensing for Cognitive Radio Networks