Content Centric Networking Approach in Cognitive Radio Ad Hoc Networks

Content Centric Networks (CCN) is recently proposed scheme for next generation Internet communication in which nodes do not need to communicate based on locations information instead they used contents names. In cognitive radio ad hoc networks (CRAHNs), nodes have dynamic network situation due to intermittent channels conditions as well as the presence of primary users activities. Based on IP-based communication approach, it is hard to maintain end-to-end connections among cognitive radio (CR) nodes in CRAHNs. In this paper, by leveraging the benefits of CCN, we propose a new cross layer architecture, named content centric networking for cognitive radio ad hoc networks (CCN-CRAHNs). Proposed scheme is evaluated by using simulation which shows the advantages of CCN-CRAHNs as compare to IP-based CRAHNs in term of average end-to-end delay in cognitive environment.