Named data networking (NDN) is a newly proposed paradigm for future Internet, in which communication among nodes is based\non data names, decoupling from their locations. In dynamic and self-organized cognitive radio ad hoc networks (CRAHNs), it is\ndifficult to maintain end-to-end connectivity between ad hoc nodes especially in the presence of licensed users and intermittent\nwireless channels. Moreover, IP-based CRAHNs have several issues like scalability, inefficient-mapping, poor resource utilization,\nand location dependence. By leveraging the advantages of NDN, in this paper,we propose a new cross layer fine-grained architecture\ncalled named data networking for cognitive radio ad hoc networks (NDN-CRAHNs). The proposed architecture provides distinct\nfeatures such as in-networking caching, security, scalability, and multipath routing. The performances of the proposed scheme\nare evaluated comparing to IP-based scheme in terms of average end-to-end delay and packet delivery ratio. Simulation results\nshow that the proposed scheme is effective in terms of average contents download time and packet delivery ratios comparing to\nconventional cognitive radio ad hoc networks.
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