Routing in Cognitive Radio Ad Hoc Network (CRAHN) is a challenging task due to limited spectrum availability. To overcome this problem several researchers have proposed various routing schemes based on Quality of Service (QoS) and spectrum availability. These schemes choose a path that gives maximum QoS and spectrum level ignoring the required QoS level for a particular application which may be quite less than the maximum level. Thus, this paper proposes an integrated service model having eight classes instead of two for CRAHN to envisage the admission control at Primary User (PU) nodes thus reducing overhead on Secondary Users (SU) for various applications. The PU node first examines the spectrum availability and then checks whether the received packet can be granted user specific Quality of Service (QoS) or not to support Elastic plus Real Time Applications for (SU) nodes. To prove the efficacy of proposed scheme comparison with Cognitive Ad hoc On-demand Distance Vector (CAODV) or shortest spectrum aware path routing mechanism is done. The result exhibits that high performance rate for good reliability, low latency and high throughput with fair load distribution among all the nodes of the network.

由于有限的频谱可用性，认知无线电自组织网络（CRAHN）中的路由是一项具有挑战性的任务。为了克服这个问题，一些研究人员提出了基于服务质量（QoS）和频谱可用性的各种路由方案。这些方案选择的路径给出了最大的QoS和频谱级别，而忽略了特定应用程序所需的QoS级别，该级别可能远小于最大级别。因此，本文针对CRAHN提出了一个具有八个类别而不是两个类别的集成服务模型，以设想主要用户（PU）节点上的准入控制，从而减少各种应用对次要用户（SU）的开销。PU节点首先检查频谱可用性，然后检查是否可以为接收到的数据包授予用户特定的服务质量（QoS），以不支持（SU）节点的弹性加实时应用程序。为了证明所提出的方案与认知自组织按需距离矢量（CAODV）或最短频谱感知路径路由机制进行比较的有效性。结果表明，在所有节点之间公平分配负载的情况下，高性能，高可靠性，低延迟和高吞吐量。