Delay and throughput are important metrics for network performance.We analyze the end-to-end delay of cognitive radio ad hoc\nnetworks for two traffic models: backlogged and geometric, respectively. By modelling the primary users as a Poisson point process\nand the secondary network deploying multi hop transmissions, we derive the closed-form expression for the end-to-end delay in\nsecondary networks. Furthermore, we optimize the end-to-end delay in terms of the hop number and the secondary transmission\nprobability, respectively.The range of the optimal hop number and the equation satisfied by the optimal transmission probability\nare obtained for backlogged source models.The equation met by the optimal hop number is presented for geometric source models.
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