Clustering Approach For Distributed Cooperative Detection in Cognitive Radio Networks
Jani Nidhi R, Sarman K. Hadia, V Jani Preetida · 2012
Abstract— There have been significant advancements towards realizations of cognitive radios, as well as towards the development of the various enabling technologies needed for the diverse potential application scenarios of CRs. Nevertheless, we have also seen that a lot of further research and development work is definitely needed before general cognitive wireless networks can be realized. Cognitive radios (CRs) can exploit vacancies in licensed frequency bands to self-organize in opportunistic spectrum networks. Such networks, henceforth referred to as Cognitive Radio Networks (CRNs), operate over a dynamic bandwidth in both time and space. This inherently leads to the partition of the network into clusters depending on the spatial variation of the Primary Radio Network (PRN) activity. Many of the solutions mentioned earlier have been designed only for limited-size CRN, for example due to the presence of centralized controllers. However, we would ideally like to be able to extend such a paradigm to virtually infinite CRNs. In this work, Weighted Clustering Algorithm designed for basic cluster formation for CRNs is proposed, which explicitly can take into account the spatial variations of spectrum opportunities in future.