Random Connectedness in Vehicular ad-hoc Network by Managing Dynamic Spectrum in CRN

In vehicular communication, the spectrum is utilized efficiently between the primary user (PU) and secondary user (SU). A dedicated channel is allocated for vehicular communication. To establish a communication between the vehicles, it has to be connected. The connectivity of vehicles is identified by applying the graph theory concepts. This paper, describes the dynamic connectivity between the vehicles. Since the vehicles are moving the topology of the network changes. These issues are addressed through the random graph. To establish the communication among the vehicles road side infrastructure should be available which is been enabled with the cognitive radio (CR) technology. This cognitive nature of network brings changes in adoptability when the topology becomes too dynamic in nature and has an impact in the connectivity between the vehicles. In this research work connectivity is studied using the analytical approach by applying the graph theory concepts.